Triple

T18333526
Position Surface form Disambiguated ID Type / Status
Subject Richard Chaves E439208 entity
Predicate name P16 FINISHED
Object Richard Chaves 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: Richard Chaves | Statement: [Richard Chaves, name, Richard Chaves]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richard Chaves
Context triple: [Richard Chaves, name, Richard Chaves]
  • A. Richard Chaves chosen
    Richard Chaves is an American actor best known for his role as Poncho in the 1987 science fiction action film "Predator."
  • B. Frank Caliendo
    Frank Caliendo is an American stand-up comedian and impressionist known for his rapid-fire celebrity impersonations and appearances on television shows such as MADtv and Fox NFL Sunday.
  • C. Bill Chaves
    Bill Chaves is a collegiate sports administrator best known for serving as the athletic director at the University of North Dakota.
  • D. Don Chafin
    Don Chafin was a powerful and controversial sheriff of Logan County, West Virginia, best known for leading anti-union forces against coal miners during the Battle of Blair Mountain in 1921.
  • E. Rex Salazar
    Rex Salazar is the teenage protagonist of the animated series "Generator Rex," known for his ability to control nanites in his body to create powerful biomechanical weapons and machines.
  • 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_69d8b9175fec8190af865699b4e64d8c completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50ecbc76c8190a80c0c8c8bce1cbd completed April 19, 2026, 5:20 p.m.
Created at: April 10, 2026, 10:36 a.m.