Triple
T10366428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Billy Elliot |
E244261
|
entity |
| Predicate | cinematographer |
P1953
|
FINISHED |
| Object | Brian Tufano |
E739826
|
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: Brian Tufano | Statement: [Billy Elliot, cinematographer, Brian Tufano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brian Tufano Context triple: [Billy Elliot, cinematographer, Brian Tufano]
-
A.
Brian Tufano
chosen
Brian Tufano was a British cinematographer best known for his influential work on films like "Trainspotting," "Shallow Grave," and "Billy Elliot."
-
B.
Josh Sitton
Josh Sitton is a former American football guard best known for his Pro Bowl career with the Green Bay Packers in the NFL.
-
C.
Tonye Patano
Tonye Patano is an American actress best known for her role as Heylia James on the television series "Weeds."
-
D.
Darren Dreifort
Darren Dreifort is a former Major League Baseball pitcher best known for his career with the Los Angeles Dodgers after starring as a two-way player at the University of Oklahoma.
-
E.
Jerome Tang
Jerome Tang is an American college basketball coach best known for revitalizing the Kansas State Wildcats men's basketball program after a long tenure as an assistant at Baylor.
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e96f25f48190a41c8b0206b9238c |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7953ba52881908d6d7e5b099c12d2 |
completed | April 9, 2026, 12:02 p.m. |
Created at: April 6, 2026, noon