Triple
T14658008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ana Leza |
E344158
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Antonio Banderas |
E68992
|
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: Antonio Banderas | Statement: [Ana Leza, spouse, Antonio Banderas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Antonio Banderas Context triple: [Ana Leza, spouse, Antonio Banderas]
-
A.
Antonio Banderas
chosen
Antonio Banderas is a Spanish actor and filmmaker known for his charismatic performances in films such as "The Mask of Zorro," "Desperado," and numerous collaborations with director Pedro Almodóvar.
-
B.
Antonio Negret
Antonio Negret is a Colombian film and television director known for action-driven projects such as the feature film "Overdrive" and episodes of popular TV series.
-
C.
Miguel Ángel Ramírez
Miguel Ángel Ramírez is a Spanish football manager known for his tactical work in South American and Major League Soccer clubs.
-
D.
Javier Cámara
Javier Cámara is a Spanish actor known for his acclaimed performances in both film and television, including prominent roles in Pedro Almodóvar’s movies.
-
E.
Eugenio Derbez
Eugenio Derbez is a Mexican actor, comedian, and filmmaker known for his work in both Spanish- and English-language film and television, including prominent roles in international hits.
- 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_69d822e283fc8190a0e4c235cf880052 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb51b6a248190a44050c0e0ec2d16 |
completed | April 14, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9dba87c481908084c3cba5df3fcd |
completed | May 9, 2026, 2:36 a.m. |
Created at: April 10, 2026, 1:27 a.m.