Triple
T14429639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alec Sokolow |
E357787
|
entity |
| Predicate | co-wroteWith |
P2389
|
FINISHED |
| Object | Joel Cohen |
E298722
|
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: Joel Cohen | Statement: [Alec Sokolow, co-wroteWith, Joel Cohen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joel Cohen Context triple: [Alec Sokolow, co-wroteWith, Joel Cohen]
-
A.
Joel Cohen
chosen
Joel Cohen is an American screenwriter best known for co-writing the screenplay of Pixar's landmark animated film "Toy Story."
-
B.
Joel Cohen
Joel Cohen is an American screenwriter best known for co-writing mainstream comedies such as "Garfield: The Movie" and other family-oriented films.
-
C.
Rob Cohen
Rob Cohen is an American film director and producer best known for helming high-profile action and adventure movies such as "The Fast and the Furious" and "xXx."
-
D.
Robert Cohen
Robert Cohen is a cellist recognized as one of the distinguished pupils of renowned cello teacher William Pleeth.
-
E.
Jon Cohen
Jon Cohen is a screenwriter best known for co-writing the science fiction film "Minority Report."
- 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_69d8279402a88190821ffa39ae15bccf |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91154de881909266ae88d1545685 |
completed | April 14, 2026, 7:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24a10afc8190b1ed1b10a4443e8f |
completed | May 8, 2026, 6 p.m. |
Created at: April 10, 2026, 1:18 a.m.