Triple
T29549608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I'll Be Gone in the Dark |
E749727
|
entity |
| Predicate | associatedPerson |
P2308
|
FINISHED |
| Object |
Joseph James DeAngelo
Joseph James DeAngelo is an American serial killer, rapist, and former police officer identified as the Golden State Killer, responsible for a series of crimes in California during the 1970s and 1980s.
|
E1871398
|
NE FINISHED |
How this triple was built (2 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: Joseph James DeAngelo | Statement: [I'll Be Gone in the Dark, associatedPerson, Joseph James DeAngelo]
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: Joseph James DeAngelo Triple: [I'll Be Gone in the Dark, associatedPerson, Joseph James DeAngelo]
Generated description
Joseph James DeAngelo is an American serial killer, rapist, and former police officer identified as the Golden State Killer, responsible for a series of crimes in California during the 1970s and 1980s.
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_69f0bd48691081908cecad39bac591e0 |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f66cf6b4ec8190a6ae2d496ea4408c |
completed | May 2, 2026, 9:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a260c432e0081908b3fd8781786fc96 |
completed | June 8, 2026, 12:26 a.m. |
| NEDg | Description generation | batch_6a26103bff1c8190a5852e827db5715c |
completed | June 8, 2026, 12:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a26143093dc819089620614744485cd |
completed | June 8, 2026, 1 a.m. |
Created at: April 28, 2026, 5:10 p.m.