Triple
T14854226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | W. (film) |
E349310
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Eric Kopeloff |
E444459
|
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: Eric Kopeloff | Statement: [W. (film), producer, Eric Kopeloff]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eric Kopeloff Context triple: [W. (film), producer, Eric Kopeloff]
-
A.
Eric Kopeloff
chosen
Eric Kopeloff is a film producer best known for his work on major Hollywood features, including Oliver Stone’s "Wall Street: Money Never Sleeps."
-
B.
Leon Feldhendler
Leon Feldhendler was a Polish Jewish resistance leader and Holocaust survivor best known for co-organizing the 1943 prisoner uprising at the Sobibor extermination camp.
-
C.
Henry Kolker
Henry Kolker was an American stage and film actor and director active in the early 20th century, known for his character roles in both silent and sound films.
-
D.
Will Kopelman
Will Kopelman is an American art consultant and former actor best known for his high-profile marriage to actress Drew Barrymore.
-
E.
Michael Kagan
Michael Kagan is an Israeli technologist and entrepreneur best known as the co-founder and longtime chief technology officer of high-performance networking company Mellanox Technologies.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d822ed7e1881909b90fca143ad7e34 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded44318f0819080b6c599f2d3474f |
completed | April 14, 2026, 11:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003c405ecc81909722377a22db84a5 |
completed | May 10, 2026, 8:05 a.m. |
Created at: April 10, 2026, 1:54 a.m.