Triple
T23540644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Zayas |
E577735
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object | Michael Clayton |
—
|
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: Michael Clayton | Statement: [David Zayas, appearedIn, Michael Clayton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Clayton Context triple: [David Zayas, appearedIn, Michael Clayton]
-
A.
Michael Clayton
chosen
Michael Clayton is a 2007 legal thriller film starring George Clooney as a law firm's "fixer" who confronts a major corporate corruption scandal.
-
B.
Michael Clayton
Michael Clayton is a former American football wide receiver best known for his standout rookie season with the Tampa Bay Buccaneers in the NFL.
-
C.
Billy Flynn
Billy Flynn is the charismatic, manipulative defense attorney character from the musical "Chicago."
-
D.
Danny Collins
Danny Collins is a 2015 comedy-drama film about an aging rock star who tries to change his life after discovering a long-lost letter from John Lennon.
-
E.
Citizen Cohn
Citizen Cohn is a 1986 television film that dramatizes the controversial life and career of lawyer Roy Cohn, a key figure in the McCarthy era.
- 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_69e245f9d5d08190a4a20004e1784e20 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1ae1b3a8c8190b5b6a58f0476c5d2 |
completed | April 29, 2026, 7:07 a.m. |
Created at: April 17, 2026, 6:10 p.m.