Triple

T15225808
Position Surface form Disambiguated ID Type / Status
Subject Hut Records E363875 entity
Predicate signedArtist P16560 FINISHED
Object Gomez E172577 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: Gomez | Statement: [Hut Records, signedArtist, Gomez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gomez
Context triple: [Hut Records, signedArtist, Gomez]
  • A. Gomez chosen
    Gomez is a common Spanish-origin surname borne by numerous notable individuals across fields such as entertainment, sports, and politics.
  • B. Gómez
    Gómez is a common Spanish surname widely found in Spain and Latin American countries.
  • C. Herculez Gomez
    Herculez Gomez is a retired American soccer forward known for his goal-scoring in Major League Soccer and appearances with the United States national team.
  • D. Feto Gomez
    Feto Gomez is a character played by actor Telly Savalas, likely featured in a film or television production from his extensive career in crime and drama roles.
  • E. Alfrédo
    Alfrédo is a given name, likely a variant or cognate of "Alfred" or "Alfredo," used as a personal male first name in various languages.
  • 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_69d85a0ce24c81909c4d3b6475548c95 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0078bb32881909927561c6c072546 completed April 15, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fedd379ac081909ebb3a18c2ee3b3c completed May 9, 2026, 7:07 a.m.
Created at: April 10, 2026, 3:12 a.m.