Triple

T14347599
Position Surface form Disambiguated ID Type / Status
Subject Emme Maribel Muñiz E355766 entity
Predicate relative P37 FINISHED
Object Guadalupe Rodríguez E355767 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: Guadalupe Rodríguez | Statement: [Emme Maribel Muñiz, relative, Guadalupe Rodríguez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guadalupe Rodríguez
Context triple: [Emme Maribel Muñiz, relative, Guadalupe Rodríguez]
  • A. Guadalupe Rodríguez chosen
    Guadalupe Rodríguez is best known as the mother of American singer, actress, and entertainer Jennifer Lopez.
  • B. 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.
  • C. Elizabeth Peña
    Elizabeth Peña was an American actress known for her versatile film and television roles, including voicing the character Mirage in Pixar’s animated film "The Incredibles."
  • D. Dianna De La Garza
    Dianna De La Garza is an American author and former Dallas Cowboys cheerleader best known as the mother of singer and actress Demi Lovato.
  • E. Lorena Bernal
    Lorena Bernal is an Argentine-born Spanish actress, model, and former Miss Spain who has also worked as a television presenter.
  • 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_69d82790a7e08190877e2d349b2e8d8e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8e8b81bc8190ace2a575faf55cc0 completed April 14, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69fea59d27bc81908ace0b7db9f57215 completed May 9, 2026, 3:10 a.m.
Created at: April 10, 2026, 1:14 a.m.