Triple

T20141452
Position Surface form Disambiguated ID Type / Status
Subject De la Vega Bodega E491175 entity
Predicate associatedWithCharacter P1481 FINISHED
Object Nina Rosario 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: Nina Rosario | Statement: [De la Vega Bodega, associatedWithCharacter, Nina Rosario]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nina Rosario
Context triple: [De la Vega Bodega, associatedWithCharacter, Nina Rosario]
  • A. Nina Rosario chosen
    Nina Rosario is a central character in the musical "In the Heights," a driven young woman who becomes the first in her family to attend college and struggles with the pressures of success and identity within her close-knit Latino community.
  • B. Ariana Guerra
    Ariana Guerra is an American actress best known for her prominent role in the Marvel Television horror series "Helstrom."
  • C. Christina Navarro
    Christina Navarro is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Navarro.
  • D. Rosa Martinez
    Rosa Martinez is a film producer known for her work on the independent drama "Lonesome Jim."
  • E. Elida Reyna
    Elida Reyna is an American Tejano singer widely recognized for her influential role in modern Tejano music and multiple award-winning recordings.
  • 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_69da6265f8f0819080b29c752a574088 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e6679b179c8190a9511df8ed82098a completed April 20, 2026, 5:51 p.m.
Created at: April 11, 2026, 11:32 p.m.