Triple

T22968124
Position Surface form Disambiguated ID Type / Status
Subject Nick Diaz E571104 entity
Predicate familyName P18 FINISHED
Object Diaz 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: Diaz | Statement: [Nick Diaz, familyName, Diaz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Diaz
Context triple: [Nick Diaz, familyName, Diaz]
  • A. Diaz
    Diaz is a common Spanish-language surname borne by numerous notable figures across politics, arts, sports, and history.
  • B. Che Díaz
    Che Díaz is a nonbinary, queer stand-up comedian and podcast host who becomes a central love interest and catalyst for change in the Sex and the City sequel series And Just Like That....
  • C. Odiaz Díaz
    Odiaz Díaz is an individual notable enough to be recognized as a namesake bearer of the surname Díaz, though specific widely known biographical details about them are not readily available.
  • D. Marco Diaz
    Marco Diaz is a cautious yet brave teenage boy and skilled karate fighter who serves as one of the main protagonists alongside Star Butterfly in the animated series "Star vs. the Forces of Evil."
  • E. Díaz chosen
    Díaz is a common Spanish surname borne by numerous notable figures in politics, arts, and sports across the Spanish-speaking world.
  • 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_69e245b2c6548190a0e4c7f2f7df2d48 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f182301f388190bb39e3d5b356dc65 completed April 29, 2026, 3:59 a.m.
Created at: April 17, 2026, 3:48 p.m.