Triple
T18943745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Finding Steve McQueen |
E463452
|
entity |
| Predicate | cinematographer |
P1953
|
FINISHED |
| Object | José David Montero |
—
|
NE NERFINISHED |
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: José David Montero | Statement: [Finding Steve McQueen, cinematographer, José David Montero]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: José David Montero Context triple: [Finding Steve McQueen, cinematographer, José David Montero]
-
A.
José David Montero
chosen
José David Montero is a cinematographer best known for his work on the film "Backdraft 2."
-
B.
Manuel Cano
Manuel Cano was a renowned Spanish flamenco guitarist and musicologist known for his influential performances, recordings, and scholarly work on flamenco music.
-
C.
Luisangel Acuña
Luisangel Acuña is a Venezuelan professional baseball infielder and notable prospect, recognized as the younger brother of MLB star Ronald Acuña Jr.
-
D.
Óscar Rodríguez
Óscar Rodríguez is a Paraguayan politician who serves as the mayor of Asunción, the capital city of Paraguay.
-
E.
Javier Cano
Javier Cano is a notable individual who has gained recognition in his field, sharing the surname Cano.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dcfec90481909e926be9767e5779 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d3ed847c8190a911a61673608a5c |
completed | April 20, 2026, 7:21 a.m. |
Created at: April 10, 2026, 11:59 a.m.