Triple
T10470209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Before Night Falls |
E246903
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | Guillermo Navarro |
E2251
|
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: Guillermo Navarro | Statement: [Before Night Falls, cinematographyBy, Guillermo Navarro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guillermo Navarro Context triple: [Before Night Falls, cinematographyBy, Guillermo Navarro]
-
A.
Guillermo Navarro
chosen
Guillermo Navarro is an acclaimed Mexican cinematographer known for his visually striking work on films such as "Pan’s Labyrinth," "Pacific Rim," and collaborations with directors like Guillermo del Toro.
-
B.
Sergio Navarro
Sergio Navarro is a relatively obscure individual whose primary public mention is as a notable bearer of the surname Navarro.
-
C.
Pablo González
Pablo González is an editor known for his work on the film "Tideland."
-
D.
Guillermo Estrella
Guillermo Estrella is an actor best known for his role in Alejandro González Iñárritu’s acclaimed drama film "Biutiful."
-
E.
Fernando Lopez
Fernando Lopez was a Filipino politician and businessman who served multiple terms as Vice President of the Philippines in the mid-20th century.
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509305fec81908b1acd91ae1f875d |
completed | April 7, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90db8b1288190bb6bb064cb0724e0 |
completed | April 10, 2026, 2:48 p.m. |
Created at: April 6, 2026, 12:20 p.m.