Triple

T13525220
Position Surface form Disambiguated ID Type / Status
Subject Everclear E322999 entity
Predicate hasPart P35 FINISHED
Object Craig Montoya E331876 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: Craig Montoya | Statement: [Everclear, hasPart, Craig Montoya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Craig Montoya
Context triple: [Everclear, hasPart, Craig Montoya]
  • A. Craig Montoya chosen
    Craig Montoya is an American bassist best known for his work with the alternative rock band Everclear.
  • B. Rafael Montoya
    Rafael Montoya is a personal name shared by multiple individuals, most commonly associated with Spanish-speaking regions and used by figures in fields such as sports, politics, or the arts.
  • C. Eduardo Montoya
    Eduardo Montoya is a person notable enough to be specifically cited as a bearer of the Montoya surname, though further widely known biographical details are not clearly established.
  • D. Joseph Montoya
    Joseph Montoya was a Democratic U.S. Senator from New Mexico known for his role on the Senate Watergate Committee during the investigation of the Nixon administration.
  • E. Alex Montoya
    Alex Montoya was a Spanish actor known for his supporting roles in mid-20th-century cinema, including appearances in international productions.
  • 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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafa6ad60819087824e4ac83934ed completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76ba9fccc81908ec2e33d66aae8ea completed May 3, 2026, 3:37 p.m.
Created at: April 9, 2026, 9:44 p.m.