Triple
T14745452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frida |
E346456
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Gregory Nava |
E809268
|
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: Gregory Nava | Statement: [Frida, screenwriter, Gregory Nava]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gregory Nava Context triple: [Frida, screenwriter, Gregory Nava]
-
A.
Gregory Nava
chosen
Gregory Nava is an American film director and screenwriter best known for socially conscious dramas such as "El Norte" and "Selena."
-
B.
Emilio Navaira
Emilio Navaira was a prominent American Tejano and country music singer-songwriter known for helping popularize Tejano music in the 1990s.
-
C.
Rodrigo García
Rodrigo García is a Colombian-born film and television director and screenwriter, known for character-driven dramas and for being the son of Nobel Prize–winning author Gabriel García Márquez.
-
D.
Alfonso Arau
Alfonso Arau is a Mexican filmmaker and actor best known internationally for directing the acclaimed romantic drama "Like Water for Chocolate."
-
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_69d822e6f1c88190bc494d491a907114 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7d002708190a32a4a45e96fc389 |
completed | April 14, 2026, 11:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdfb9638648190a2a3eb255ec5ae28 |
completed | May 8, 2026, 3:04 p.m. |
Created at: April 10, 2026, 1:30 a.m.