Triple

T10889631
Position Surface form Disambiguated ID Type / Status
Subject Julio Iglesias E257139 entity
Predicate hasChild P369 FINISHED
Object Chabeli Iglesias E336622 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: Chabeli Iglesias | Statement: [Julio Iglesias, hasChild, Chabeli Iglesias]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chabeli Iglesias
Context triple: [Julio Iglesias, hasChild, Chabeli Iglesias]
  • A. Chabeli Iglesias chosen
    Chabeli Iglesias is a Spanish television host and journalist, best known as a member of the prominent Iglesias entertainment family.
  • B. Lupe Ontiveros
    Lupe Ontiveros was an American character actress known for her powerful portrayals of working-class Latina women in film, television, and theater.
  • C. Lupita Tovar
    Lupita Tovar was a Mexican-American actress best known for her roles in early Spanish-language films, including the 1931 Spanish-language version of "Drácula."
  • D. Mayan Lopez
    Mayan Lopez is an American actress and producer, best known for starring alongside her father in the NBC comedy series "Lopez vs Lopez."
  • E. Selena Gomez
    Selena Gomez is an American singer, actress, and producer known for her breakout role on Disney Channel and a successful pop music career with numerous chart-topping hits.
  • 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_69d6aa848804819081b2713ca0bedf06 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d752041e2c8190b513dc9dc5857fcc completed April 9, 2026, 7:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2169ea02c8190addf125ec5adafe8 completed April 17, 2026, 11:16 a.m.
Created at: April 8, 2026, 9:21 p.m.