Triple

T9578529
Position Surface form Disambiguated ID Type / Status
Subject Training Day (TV series) E231109 entity
Predicate executiveProducer P7225 FINISHED
Object Will Beall E195737 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: Will Beall | Statement: [Training Day (TV series), executiveProducer, Will Beall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Will Beall
Context triple: [Training Day (TV series), executiveProducer, Will Beall]
  • A. Will Beall chosen
    Will Beall is an American screenwriter and former LAPD detective known for writing action and comic book–based films and television series, including work in the DC Extended Universe.
  • B. Eric L. Beason
    Eric L. Beason is a film editor best known for his work on major Hollywood productions, including the superhero blockbuster "Spider-Man 3."
  • C. Byron Beck
    Byron Beck was a standout center and fan favorite for the Denver Rockets/Nuggets franchise, known for his rebounding, toughness, and status as one of the team’s earliest stars in the ABA.
  • D. John Beasley
    John Beasley is a former American professional basketball player best known for his standout career in the American Basketball Association during the late 1960s and early 1970s.
  • E. Dan Beckwith
    Dan Beckwith was an early settler and prominent figure after whom the city of Danville, Illinois, was named.
  • 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_69ca848091c48190bc313d6620d09555 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd99aece1081908287e03106de020f completed April 1, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1821797f88190b427ad1fcfc73757 completed April 4, 2026, 9:26 p.m.
Created at: March 30, 2026, 8:05 p.m.