Triple
T13507704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crimson Tide |
E321054
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Matt Craven |
E932865
|
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: Matt Craven | Statement: [Crimson Tide, starring, Matt Craven]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matt Craven Context triple: [Crimson Tide, starring, Matt Craven]
-
A.
Matt Craven
chosen
Matt Craven is a Canadian character actor known for his extensive work in film and television, often appearing in dramas and thrillers.
-
B.
Matt Graver
Matt Graver is a seasoned and morally ambiguous CIA operative who orchestrates covert operations against Mexican drug cartels in the film "Sicario."
-
C.
Jason Crouse
Jason Crouse is a fictional defense investigator and love interest of Alicia Florrick on the legal drama television series "The Good Wife."
-
D.
Eric Crouch
Eric Crouch is a former American college quarterback best known for his dynamic dual-threat play at the University of Nebraska, where he became one of the nation’s top offensive stars in the early 2000s.
-
E.
Aaron Cruden
Aaron Cruden is a New Zealand rugby union fly-half known for his playmaking skills and international career with the All Blacks, as well as stints in top professional leagues abroad.
- 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_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf8259a08190ada13c4a3078f07d |
completed | April 12, 2026, 2:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76ba835f08190bdc21de864e0fcc8 |
completed | May 3, 2026, 3:37 p.m. |
Created at: April 9, 2026, 9:43 p.m.