Triple
T14658040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melanie Griffith |
E344159
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Stella Banderas |
E349993
|
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: Stella Banderas | Statement: [Melanie Griffith, child, Stella Banderas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stella Banderas Context triple: [Melanie Griffith, child, Stella Banderas]
-
A.
Stella del Carmen Banderas
chosen
Stella del Carmen Banderas is a Spanish-American actress and model, best known as the daughter of actors Antonio Banderas and Melanie Griffith.
-
B.
Lorena Bernal
Lorena Bernal is an Argentine-born Spanish actress, model, and former Miss Spain who has also worked as a television presenter.
-
C.
Guadalupe Rodríguez
Guadalupe Rodríguez is best known as the mother of American singer, actress, and entertainer Jennifer Lopez.
-
D.
Claudia Ramírez
Claudia Ramírez is a Mexican actress known for her work in film and television, particularly in acclaimed Mexican cinema of the late 20th century.
-
E.
Adriana Barraza
Adriana Barraza is a Mexican actress and director acclaimed for her powerful performances in films such as "Babel," for which she received an Academy Award nomination.
- 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_69fdd5e01cd081909c71fdcf67c3b1f5 |
completed | May 8, 2026, 12:24 p.m. |
Created at: April 10, 2026, 1:27 a.m.