Triple

T13701291
Position Surface form Disambiguated ID Type / Status
Subject House of Buggin' E328522 entity
Predicate hasCastMember P2308 FINISHED
Object Judy Reyes E814290 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: Judy Reyes | Statement: [House of Buggin', hasCastMember, Judy Reyes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Judy Reyes
Context triple: [House of Buggin', hasCastMember, Judy Reyes]
  • A. Judy Reyes chosen
    Judy Reyes is an American actress best known for her role as nurse Carla Espinosa on the television series "Scrubs."
  • B. Marjorie Estiano
    Marjorie Estiano is a Brazilian actress and singer acclaimed for her powerful television performances and international recognition.
  • C. Karen Mendez
    Karen Mendez is known as the wife of former CIA technical operations officer and author Tony Mendez, whose life inspired the film "Argo."
  • D. Yvette Prieto
    Yvette Prieto is a Cuban-American former model best known for being married to NBA legend Michael Jordan.
  • E. Jeanette Núñez
    Jeanette Núñez is an American politician and member of the Republican Party who has served in Florida state government, including leadership roles in the state legislature.
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc879adc88190b03f1cf815b71061 completed April 12, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbac7c8bbc81908c7aa15c6892be34 completed May 6, 2026, 9:02 p.m.
Created at: April 9, 2026, 9:54 p.m.