Triple

T5067811
Position Surface form Disambiguated ID Type / Status
Subject Usnavi de la Vega E114185 entity
Predicate closeFriend P8712 FINISHED
Object Nina Rosario E485304 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: Nina Rosario | Statement: [Usnavi de la Vega, closeFriend, Nina Rosario]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nina Rosario
Context triple: [Usnavi de la Vega, closeFriend, 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. Christina Navarro
    Christina Navarro is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Navarro.
  • C. Michelle Navarro
    Michelle Navarro is an individual notable enough to be recognized as a prominent bearer of the Navarro surname.
  • D. Silvia Navarro
    Silvia Navarro is a Mexican actress best known for her leading roles in popular telenovelas and television dramas.
  • E. Stella Arroyave
    Stella Arroyave is a Colombian-born former antiques dealer and actress best known as the wife of acclaimed actor Anthony Hopkins.
  • 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_69bd443cf28c8190ad371d603563dbdd completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd749bf69c819093e75dce56f1c0ab completed March 20, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69beba659fd8819081563a106fef3776 completed March 21, 2026, 3:33 p.m.
Created at: March 20, 2026, 1:38 p.m.