Triple
T17305935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kate del Castillo |
E420164
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Kate del Castillo |
E420164
|
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: Kate del Castillo | Statement: [Kate del Castillo, name, Kate del Castillo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kate del Castillo Context triple: [Kate del Castillo, name, Kate del Castillo]
-
A.
Kate del Castillo
chosen
Kate del Castillo is a Mexican actress best known internationally for her leading roles in telenovelas and the crime drama series "La Reina del Sur."
-
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.
Sara García
Sara García was a legendary Mexican film actress, famously known as the “Grandmother of Mexican Cinema” for her iconic maternal roles in classic Golden Age movies.
-
D.
Salma Hayek
Salma Hayek is a Mexican-American actress and producer renowned for her breakthrough roles in 1990s action and drama films and her Academy Award–nominated performance in "Frida."
-
E.
Ángela Molina
Ángela Molina is a renowned Spanish actress known for her work in European art-house cinema and collaborations with prominent directors such as Luis Buñuel.
- 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_69d889d22b848190a4663d0b8f8f76e7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e438ff3ee08190ab4c44a22f86b38b |
completed | April 19, 2026, 2:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0180e0c1b881908aa2b6b4d8ac04b6 |
completed | May 11, 2026, 7:10 a.m. |
Created at: April 10, 2026, 5:43 a.m.