Triple
T19514119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Painkiller |
E488233
|
entity |
| Predicate | basedOn |
P98
|
FINISHED |
| Object |
Pain Killer: An Empire of Deceit and the Origin of America’s Opioid Epidemic
"Pain Killer: An Empire of Deceit and the Origin of America’s Opioid Epidemic" is a nonfiction book that investigates the Sackler family, Purdue Pharma, and the corporate and regulatory failures that fueled the U.S. opioid crisis.
|
E1380647
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Pain Killer: An Empire of Deceit and the Origin of America’s Opioid Epidemic | Statement: [Painkiller, basedOn, Pain Killer: An Empire of Deceit and the Origin of America’s Opioid Epidemic]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pain Killer: An Empire of Deceit and the Origin of America’s Opioid Epidemic Context triple: [Painkiller, basedOn, Pain Killer: An Empire of Deceit and the Origin of America’s Opioid Epidemic]
-
A.
Empire of Pain: The Secret History of the Sackler Dynasty
Empire of Pain: The Secret History of the Sackler Dynasty is a nonfiction investigative book that chronicles the rise of the Sackler family and their central role in the opioid crisis through the marketing of OxyContin.
-
B.
Bitter Pills: Inside the Hazardous World of Legal Drugs
Bitter Pills: Inside the Hazardous World of Legal Drugs is a nonfiction investigative book that exposes the risks, regulatory failures, and human consequences surrounding the use and oversight of prescription medications.
-
C.
The Politics of Heroin: CIA Complicity in the Global Drug Trade
The Politics of Heroin: CIA Complicity in the Global Drug Trade is a landmark investigative book that examines the historical intersections between U.S. intelligence operations and the international heroin trade.
-
D.
The Heroin Factor
The Heroin Factor is a crime novel by American author James McEachin that explores the violent underworld and social impact of the heroin trade.
-
E.
Kill the Messenger: How the CIA’s Crack-Cocaine Controversy Destroyed Journalist Gary Webb
*Kill the Messenger: How the CIA’s Crack-Cocaine Controversy Destroyed Journalist Gary Webb* is a nonfiction book that chronicles investigative reporter Gary Webb’s exposé on alleged CIA involvement in the crack epidemic and the ensuing backlash that ruined his career.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Pain Killer: An Empire of Deceit and the Origin of America’s Opioid Epidemic Triple: [Painkiller, basedOn, Pain Killer: An Empire of Deceit and the Origin of America’s Opioid Epidemic]
Generated description
"Pain Killer: An Empire of Deceit and the Origin of America’s Opioid Epidemic" is a nonfiction book that investigates the Sackler family, Purdue Pharma, and the corporate and regulatory failures that fueled the U.S. opioid crisis.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pain Killer: An Empire of Deceit and the Origin of America’s Opioid Epidemic Target entity description: "Pain Killer: An Empire of Deceit and the Origin of America’s Opioid Epidemic" is a nonfiction book that investigates the Sackler family, Purdue Pharma, and the corporate and regulatory failures that fueled the U.S. opioid crisis.
-
A.
Empire of Pain: The Secret History of the Sackler Dynasty
Empire of Pain: The Secret History of the Sackler Dynasty is a nonfiction investigative book that chronicles the rise of the Sackler family and their central role in the opioid crisis through the marketing of OxyContin.
-
B.
Bitter Pills: Inside the Hazardous World of Legal Drugs
Bitter Pills: Inside the Hazardous World of Legal Drugs is a nonfiction investigative book that exposes the risks, regulatory failures, and human consequences surrounding the use and oversight of prescription medications.
-
C.
The Politics of Heroin: CIA Complicity in the Global Drug Trade
The Politics of Heroin: CIA Complicity in the Global Drug Trade is a landmark investigative book that examines the historical intersections between U.S. intelligence operations and the international heroin trade.
-
D.
The Heroin Factor
The Heroin Factor is a crime novel by American author James McEachin that explores the violent underworld and social impact of the heroin trade.
-
E.
Kill the Messenger: How the CIA’s Crack-Cocaine Controversy Destroyed Journalist Gary Webb
*Kill the Messenger: How the CIA’s Crack-Cocaine Controversy Destroyed Journalist Gary Webb* is a nonfiction book that chronicles investigative reporter Gary Webb’s exposé on alleged CIA involvement in the crack epidemic and the ensuing backlash that ruined his career.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8e8da8bec819081f400199491ccc3 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6359a7070819099d925447c80bf23 |
completed | April 20, 2026, 2:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07472513948190a2fdbc569d1673e4 |
completed | May 15, 2026, 4:17 p.m. |
| NEDg | Description generation | batch_6a07480899788190b61de30bff1414d6 |
completed | May 15, 2026, 4:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07491088a48190914abc69055cf807 |
completed | May 15, 2026, 4:25 p.m. |
Created at: April 10, 2026, 1:40 p.m.