Triple
T15630812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Claire Kincaid |
E375804
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Jack McCoy |
E653942
|
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: Jack McCoy | Statement: [Claire Kincaid, associatedWith, Jack McCoy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jack McCoy Context triple: [Claire Kincaid, associatedWith, Jack McCoy]
-
A.
Jack McCoy
chosen
Jack McCoy is a fictional New York City prosecutor known for his aggressive, morally complex approach to trying cases in the long-running television series "Law & Order."
-
B.
John Beckett
John Beckett was a British politician who moved from the Labour Party to far-right politics and became a prominent figure in interwar British fascism.
-
C.
M. T. Scudder
M. T. Scudder is a person notable enough to be recognized as a significant bearer of the surname Scudder.
-
D.
Lt. Daniel Kaffee
Lt. Daniel Kaffee is a young, initially reluctant but sharp-witted U.S. Navy lawyer who becomes determined to uncover the truth in the military courtroom drama "A Few Good Men."
-
E.
Jack Crawford
Jack Crawford is a seasoned FBI agent and head of the Behavioral Science Unit who mentors Clarice Starling in Thomas Harris’s Hannibal Lecter novels and their film adaptations.
- 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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04eb536348190b93ed3c178d1ffb8 |
completed | April 16, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff5f44f0b881909ce36823e4314799 |
completed | May 9, 2026, 4:22 p.m. |
Created at: April 10, 2026, 4:14 a.m.