Triple
T5524923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diego Luna |
E144899
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Diego Luna |
E144899
|
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: Diego Luna | Statement: [Diego Luna, name, Diego Luna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Diego Luna Context triple: [Diego Luna, name, Diego Luna]
-
A.
Diego Luna
chosen
Diego Luna is a Mexican actor, director, and producer best known internationally for his roles in films like "Y Tu Mamá También" and "Rogue One: A Star Wars Story."
-
B.
Gael García Bernal
Gael García Bernal is a Mexican actor and producer known for his acclaimed performances in films like "Amores Perros," "Y Tu Mamá También," and "The Motorcycle Diaries," as well as his work in international cinema and television.
-
C.
Édgar Ramírez
Édgar Ramírez is a Venezuelan actor known for his versatile performances in both Hollywood and international films, including acclaimed roles in projects like "Carlos," "Zero Dark Thirty," and "Joy."
-
D.
Chino Darín
Chino Darín is an Argentine actor known for his work in film and television, and as the son of acclaimed actor Ricardo Darín.
-
E.
Gabriel Luna
Gabriel Luna is an American actor best known for roles in projects like Marvel’s Agents of S.H.I.E.L.D., Terminator: Dark Fate, and the HBO adaptation of The Last of Us.
- 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_69c008f873a481909b4d9f7e2db3c37d |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f874bd081909cccfc25767ee6fa |
completed | March 22, 2026, 4:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c027fa22108190b55c07fe930ca4f1 |
completed | March 22, 2026, 5:33 p.m. |
Created at: March 22, 2026, 3:34 p.m.