Triple

T17435308
Position Surface form Disambiguated ID Type / Status
Subject Eugenio Derbez E423985 entity
Predicate child P120 FINISHED
Object José Eduardo Derbez 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: José Eduardo Derbez | Statement: [Eugenio Derbez, child, José Eduardo Derbez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: José Eduardo Derbez
Context triple: [Eugenio Derbez, child, José Eduardo Derbez]
  • A. 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.
  • B. Vadhir Derbez chosen
    Vadhir Derbez is a Mexican actor and singer known for his work in film, television, and music, and as part of the prominent Derbez entertainment family.
  • 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. Nestor Carbonell
    Nestor Carbonell is an American actor best known for his roles in the television series "Lost" and "Bates Motel," as well as numerous film and voice-acting appearances.
  • E. Raul Daza
    Raul Daza is a Filipino lawyer and veteran politician known for his long-standing service as a congressman and leader within the Liberal Party of the Philippines.
  • 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_69d889d88b6081908bada047f5b3ba51 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4490361c081908fd24f9a812f212c completed April 19, 2026, 3:16 a.m.
Created at: April 10, 2026, 5:46 a.m.