Triple
T2895281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corpse Bride |
E63924
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | Pete Kozachik |
E315878
|
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: Pete Kozachik | Statement: [Corpse Bride, cinematographyBy, Pete Kozachik]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pete Kozachik Context triple: [Corpse Bride, cinematographyBy, Pete Kozachik]
-
A.
Pete Kozachik
chosen
Pete Kozachik is an American cinematographer best known for his work on stop-motion animated films, including the cult classic "The Nightmare Before Christmas."
-
B.
Bernie Federko
Bernie Federko is a Hall of Fame Canadian center best known as a longtime offensive star and playmaker for the St. Louis Blues in the NHL.
-
C.
Tony Kubek
Tony Kubek is a former Major League Baseball shortstop and longtime television broadcaster best known for his work as a color commentator on national baseball telecasts.
-
D.
Michael Kuzak
Michael Kuzak is a central attorney character on the television legal drama "L.A. Law," known for his idealism and high-profile courtroom battles.
-
E.
Wayne Chrebet
Wayne Chrebet is a former NFL wide receiver best known for his productive career with the New York Jets as an undersized but clutch possession receiver.
- 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_69ab4c45822c8190830c5f2bb97bcfd0 |
completed | March 6, 2026, 9:51 p.m. |
| NER | Named-entity recognition | batch_69abe06509808190b673222b9ae3d599 |
completed | March 7, 2026, 8:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b12e1250348190abeac8ef6dd9d916 |
completed | March 11, 2026, 8:55 a.m. |
Created at: March 6, 2026, 10:08 p.m.