Triple
T21952269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Company You Keep |
E542096
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Chris Cooper |
—
|
NE NERFINISHED |
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: Chris Cooper | Statement: [The Company You Keep, castMember, Chris Cooper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chris Cooper Context triple: [The Company You Keep, castMember, Chris Cooper]
-
A.
Chris Cooper
chosen
Chris Cooper is an American character actor known for his intense, nuanced performances in films such as "American Beauty," "Adaptation," and "Seabiscuit."
-
B.
Tommy Lee Jones
Tommy Lee Jones is an American actor and filmmaker known for his tough, stoic characters in films such as "The Fugitive," "No Country for Old Men," and "Men in Black."
-
C.
Jeff Daniels
Jeff Daniels is an American actor known for his versatile performances in film, television, and theater, with notable roles in works ranging from dramas like "The Newsroom" to comedies like "Dumb and Dumber."
-
D.
Tim Metcalfe
Tim Metcalfe is a music producer best known for his work on Robbie Williams’ album "Take the Crown."
-
E.
Tim Metcalfe
Tim Metcalfe is an American screenwriter known for his work on films such as the horror movie "Bones" (2001) and other genre projects.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c47ef0e48190a50e1bcc43f4b3fd |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1243d43d8819084e280b129631288 |
completed | April 28, 2026, 9:18 p.m. |
Created at: April 16, 2026, 7:58 p.m.