Triple

T20493166
Position Surface form Disambiguated ID Type / Status
Subject Amor bravío E502798 entity
Predicate hasMainCharacter P1183 FINISHED
Object Camila Monterde NE NERFINISHED

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: Camila Monterde | Statement: [Amor bravío, hasMainCharacter, Camila Monterde]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Camila Monterde
Context triple: [Amor bravío, hasMainCharacter, Camila Monterde]
  • A. Mutya Orquia
    Mutya Orquia is a Filipino child actress best known for her roles in popular Philippine television dramas and series.
  • B. Lola Dueñas
    Lola Dueñas is a Spanish actress known for her acclaimed performances in films such as "The Sea Inside" and several collaborations with director Pedro Almodóvar.
  • C. Ariana Guerra
    Ariana Guerra is an American actress best known for her prominent role in the Marvel Television horror series "Helstrom."
  • D. Alejandra Fernández
    Alejandra Fernández is known as the adopted daughter of legendary Mexican ranchera singer Vicente Fernández and has maintained a relatively private life outside the entertainment spotlight.
  • E. Silvia Navarro chosen
    Silvia Navarro is a Mexican actress best known for her leading roles in popular telenovelas and television dramas.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4b0373881909dd3e9387f82eab4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69cbb3bd081909351525208b41bba completed April 20, 2026, 9:38 p.m.
Created at: April 16, 2026, 11:35 a.m.