Triple

T6150332
Position Surface form Disambiguated ID Type / Status
Subject The Rookie E137183 entity
Predicate editedBy P1954 FINISHED
Object Eric L. Beason E427989 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: Eric L. Beason | Statement: [The Rookie, editedBy, Eric L. Beason]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eric L. Beason
Context triple: [The Rookie, editedBy, Eric L. Beason]
  • A. Eric L. Beason chosen
    Eric L. Beason is a film editor best known for his work on major Hollywood productions, including the superhero blockbuster "Spider-Man 3."
  • B. Craig R. Baxley
    Craig R. Baxley is an American film and television director and former stunt coordinator known for his work on high-octane action projects in the 1980s and 1990s.
  • C. Gregory D. Gadson
    Gregory D. Gadson is a retired U.S. Army colonel and double amputee who became known to film audiences for his acting role in the science fiction war film "Battleship."
  • D. Michael G. Moye
    Michael G. Moye is an American television writer and producer best known for co-creating the groundbreaking Fox sitcom "Married... with Children."
  • E. Bruce A. Blakeman
    Bruce A. Blakeman is an American politician and attorney who serves as the County Executive of Nassau County, New York.
  • 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_69c008a45d008190832a9e19f5d63406 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05ce329648190a03ba0233df841fa completed March 22, 2026, 9:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c603dd70b48190844e513246930b53 completed March 27, 2026, 4:13 a.m.
Created at: March 22, 2026, 4:16 p.m.