Triple

T10526564
Position Surface form Disambiguated ID Type / Status
Subject Antonio Fargas E248320 entity
Predicate name P16 FINISHED
Object Antonio Fargas E248320 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: Antonio Fargas | Statement: [Antonio Fargas, name, Antonio Fargas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Antonio Fargas
Context triple: [Antonio Fargas, name, Antonio Fargas]
  • A. Antonio Fargas chosen
    Antonio Fargas is an American character actor best known for his flamboyant and comedic roles in 1970s blaxploitation films and the TV series "Starsky & Hutch."
  • B. Armando Diaz
    Armando Diaz was an Italian general best known for leading Italy to victory on the Italian Front during World War I, particularly at the Battle of Vittorio Veneto.
  • C. Antonio Moreno
    Antonio Moreno was a Spanish-born American actor prominent in early Hollywood cinema, known for his roles in silent films and later sound productions.
  • D. Antonio Negret
    Antonio Negret is a Colombian film and television director known for action-driven projects such as the feature film "Overdrive" and episodes of popular TV series.
  • E. Frank Ferrer
    Frank Ferrer is an American rock drummer best known as the longtime drummer for the band Guns N' Roses.
  • 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_69d381c5c7448190bec34bee7ec72bac completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509f4bbe88190bce7789a56c85671 completed April 7, 2026, 1:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69d94b1b0de8819089e39ec76e6bdf59 completed April 10, 2026, 7:10 p.m.
Created at: April 6, 2026, 12:29 p.m.