Triple
T16568995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Walk in the Clouds |
E402534
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object | Alfonso Arau |
E84887
|
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: Alfonso Arau | Statement: [A Walk in the Clouds, director, Alfonso Arau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alfonso Arau Context triple: [A Walk in the Clouds, director, Alfonso Arau]
-
A.
Alfonso Arau
chosen
Alfonso Arau is a Mexican filmmaker and actor best known internationally for directing the acclaimed romantic drama "Like Water for Chocolate."
-
B.
Luis Cano
Luis Cano is a member of the historically notable Cano family, a lineage recognized for its enduring legacy and influence.
-
C.
Fernando de Fuentes
Fernando de Fuentes was a pioneering Mexican film director and screenwriter, regarded as one of the key figures of the Golden Age of Mexican cinema.
-
D.
Emilio Navaira
Emilio Navaira was a prominent American Tejano and country music singer-songwriter known for helping popularize Tejano music in the 1990s.
-
E.
Manuel Garcia-Rulfo
Manuel Garcia-Rulfo is a Mexican actor known for his roles in both Hollywood and Mexican cinema, including ensemble casts in major films and prominent parts in television series.
- 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_69d8838648088190acf97ef11fc3f61b |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e35773c00c819091731bebc02a69bb |
completed | April 18, 2026, 10:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006ee616a0819089b3cdc1da951735 |
completed | May 10, 2026, 11:41 a.m. |
Created at: April 10, 2026, 5:16 a.m.