Triple

T18508157
Position Surface form Disambiguated ID Type / Status
Subject Kim Zambrano E452253 entity
Predicate hasColleague P398 FINISHED
Object Carlos Nieto 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: Carlos Nieto | Statement: [Kim Zambrano, hasColleague, Carlos Nieto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carlos Nieto
Context triple: [Kim Zambrano, hasColleague, Carlos Nieto]
  • A. Carlos Nieto chosen
    Carlos Nieto is a fictional New York City paramedic featured as one of the central characters in the television drama series "Third Watch."
  • B. Pedro de la Rosa
    Pedro de la Rosa is a Spanish former Formula One driver and test driver best known for his stints with teams such as Arrows, Jaguar, and McLaren.
  • C. Javier Montoya
    Javier Montoya is a notable individual distinguished enough to be recognized as a prominent bearer of the Montoya surname.
  • D. Julián Romea
    Julián Romea was a prominent 19th-century Spanish actor and theater figure, renowned for his contributions to the development of modern Spanish drama.
  • E. Alejandro Montoya
    Alejandro Montoya is a personal name shared by multiple individuals, most commonly of Spanish-speaking origin, and may refer to various figures in fields such as sports, arts, or public life.
  • 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_69d8d386df84819092355ebb260d848e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53344033c8190a0883aef56ba79c3 completed April 19, 2026, 7:55 p.m.
Created at: April 10, 2026, 11:36 a.m.