Triple
T19993276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bill Browder |
E494114
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Freezing Order: A True Story of Money Laundering, Murder, and Surviving Vladimir Putin’s Wrath
"Freezing Order: A True Story of Money Laundering, Murder, and Surviving Vladimir Putin’s Wrath" is a nonfiction book by financier and activist Bill Browder that chronicles his fight against Kremlin corruption and the deadly consequences that followed.
|
E1405322
|
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: Freezing Order: A True Story of Money Laundering, Murder, and Surviving Vladimir Putin’s Wrath | Statement: [Bill Browder, notableWork, Freezing Order: A True Story of Money Laundering, Murder, and Surviving Vladimir Putin’s Wrath]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Freezing Order: A True Story of Money Laundering, Murder, and Surviving Vladimir Putin’s Wrath Context triple: [Bill Browder, notableWork, Freezing Order: A True Story of Money Laundering, Murder, and Surviving Vladimir Putin’s Wrath]
-
A.
The Russia House
The Russia House is a 1990 espionage film adaptation of John le Carré’s novel, starring Sean Connery and Michelle Pfeiffer and set against the backdrop of the late Cold War.
-
B.
Kolyma Tales
Kolyma Tales is a renowned collection of short stories by Varlam Shalamov that depicts the brutal realities of life and survival in the Soviet Gulag system.
-
C.
Blowout: Corrupted Democracy, Rogue State Russia, and the Richest, Most Destructive Industry on Earth
"Blowout: Corrupted Democracy, Rogue State Russia, and the Richest, Most Destructive Industry on Earth" is a nonfiction book by Rachel Maddow that investigates how the global oil and gas industry fuels corruption, undermines democracy, and destabilizes international politics.
-
D.
The Valachi Papers
The Valachi Papers is a 1972 crime film dramatizing the real-life testimony of Mafia informant Joe Valachi and exposing the inner workings of the American Cosa Nostra.
-
E.
Killing Pablo: The Hunt for the World's Greatest Outlaw
"Killing Pablo: The Hunt for the World's Greatest Outlaw" is a nonfiction book that chronicles the rise and violent downfall of Colombian drug lord Pablo Escobar and the international manhunt that brought him down.
- 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: Freezing Order: A True Story of Money Laundering, Murder, and Surviving Vladimir Putin’s Wrath Triple: [Bill Browder, notableWork, Freezing Order: A True Story of Money Laundering, Murder, and Surviving Vladimir Putin’s Wrath]
Generated description
"Freezing Order: A True Story of Money Laundering, Murder, and Surviving Vladimir Putin’s Wrath" is a nonfiction book by financier and activist Bill Browder that chronicles his fight against Kremlin corruption and the deadly consequences that followed.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Freezing Order: A True Story of Money Laundering, Murder, and Surviving Vladimir Putin’s Wrath Target entity description: "Freezing Order: A True Story of Money Laundering, Murder, and Surviving Vladimir Putin’s Wrath" is a nonfiction book by financier and activist Bill Browder that chronicles his fight against Kremlin corruption and the deadly consequences that followed.
-
A.
The Russia House
The Russia House is a 1990 espionage film adaptation of John le Carré’s novel, starring Sean Connery and Michelle Pfeiffer and set against the backdrop of the late Cold War.
-
B.
Kolyma Tales
Kolyma Tales is a renowned collection of short stories by Varlam Shalamov that depicts the brutal realities of life and survival in the Soviet Gulag system.
-
C.
Blowout: Corrupted Democracy, Rogue State Russia, and the Richest, Most Destructive Industry on Earth
"Blowout: Corrupted Democracy, Rogue State Russia, and the Richest, Most Destructive Industry on Earth" is a nonfiction book by Rachel Maddow that investigates how the global oil and gas industry fuels corruption, undermines democracy, and destabilizes international politics.
-
D.
The Valachi Papers
The Valachi Papers is a 1972 crime film dramatizing the real-life testimony of Mafia informant Joe Valachi and exposing the inner workings of the American Cosa Nostra.
-
E.
Killing Pablo: The Hunt for the World's Greatest Outlaw
"Killing Pablo: The Hunt for the World's Greatest Outlaw" is a nonfiction book that chronicles the rise and violent downfall of Colombian drug lord Pablo Escobar and the international manhunt that brought him down.
- 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65fe2036c8190b9f313215ad44e87 |
completed | April 20, 2026, 5:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a080503f1bc8190b71f6d7043ac6593 |
completed | May 16, 2026, 5:47 a.m. |
| NEDg | Description generation | batch_6a0806563e1c8190b702fcfc009c84d5 |
completed | May 16, 2026, 5:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0806e876c881909f0c30e5dd16ce20 |
completed | May 16, 2026, 5:55 a.m. |
Created at: April 11, 2026, 3:31 p.m.