Triple

T18263819
Position Surface form Disambiguated ID Type / Status
Subject José María Jiménez E437430 entity
Predicate hasRelative P367 FINISHED
Object Ángel Arroyo 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: Ángel Arroyo | Statement: [José María Jiménez, hasRelative, Ángel Arroyo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ángel Arroyo
Context triple: [José María Jiménez, hasRelative, Ángel Arroyo]
  • A. Ángel Arroyo chosen
    Ángel Arroyo is a former Spanish professional road cyclist best known for his strong Grand Tour performances in the early 1980s, including a podium finish in the Tour de France.
  • B. Rudy Galindo
    Rudy Galindo is an American figure skater best known for winning the 1996 U.S. national championship and for being one of the first openly gay champions in the sport.
  • C. Cris Abrego
    Cris Abrego is an American television producer and executive best known for creating and overseeing numerous popular reality TV series.
  • D. Reynaldo Villalobos
    Reynaldo Villalobos is a cinematographer best known for his work on notable American films such as the comedy classic "9 to 5."
  • E. Rey Robles
    Rey Robles is a character in Don DeLillo’s novel *The Body Artist*, involved in the story’s exploration of identity, memory, and the uncanny.
  • 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_69d8b913351c8190932b6a426de04b41 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ff78b188819081da8e1d389c6c79 completed April 19, 2026, 4:14 p.m.
Created at: April 10, 2026, 10:34 a.m.