Triple
T13071960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Entrapment |
E329478
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Maury Chaykin |
E477639
|
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: Maury Chaykin | Statement: [Entrapment, starring, Maury Chaykin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maury Chaykin Context triple: [Entrapment, starring, Maury Chaykin]
-
A.
Maury Chaykin
chosen
Maury Chaykin was a Canadian-American character actor known for his memorable supporting roles in film and television, including his acclaimed portrayal of detective Nero Wolfe in the TV series "A Nero Wolfe Mystery."
-
B.
Glenn Gilger
Glenn Gilger is an American child voice actor best known for providing the voice of one of the Peanuts characters in the animated film "A Boy Named Charlie Brown."
-
C.
Louis Begley
Louis Begley is a Polish-born American novelist and lawyer best known for his critically acclaimed works exploring identity, morality, and the legacy of the Holocaust.
-
D.
Stephen Macht
Stephen Macht is an American actor known for his work in film and television, including prominent roles in horror and crime dramas.
-
E.
Stacy Keach
Stacy Keach is an American actor known for his powerful character roles in film, television, and theater, often portraying tough, authoritative figures.
- 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980ee6130819095d835e7ff6a8c5b |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f0ff20081909f277d9c8dc8b043 |
completed | May 3, 2026, 10:10 a.m. |
Created at: April 9, 2026, 9 p.m.