Triple
T14808539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hooch |
E348106
|
entity |
| Predicate | partnerOf |
P1136
|
FINISHED |
| Object | Scott Turner |
E348105
|
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: Scott Turner | Statement: [Hooch, partnerOf, Scott Turner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scott Turner Context triple: [Hooch, partnerOf, Scott Turner]
-
A.
Scott Turner
chosen
Scott Turner is the meticulous small-town detective portrayed by Tom Hanks in the 1989 buddy-cop comedy film "Turner & Hooch."
-
B.
Mark Turner
Mark Turner is an acclaimed American jazz saxophonist known for his intricate improvisations and influential work in contemporary jazz ensembles.
-
C.
Gil Turner
Gil Turner was an American welterweight boxer active in the 1950s, known as a top contender who challenged for the world title and faced several elite fighters of his era.
-
D.
Peter Turner
Peter Turner is a British actor and writer best known for his memoir about his relationship with Gloria Grahame, which was adapted into the film "Film Stars Don’t Die in Liverpool."
-
E.
Steve Forrest
Steve Forrest was an American film and television actor known for his rugged leading-man roles in mid-20th-century Hollywood productions.
- 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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decf33b6a08190ab6a4cfeda2cc09c |
completed | April 14, 2026, 11:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24c8bc6881908736c029943997ae |
completed | May 8, 2026, 6 p.m. |
Created at: April 10, 2026, 1:45 a.m.