Triple

T21723107
Position Surface form Disambiguated ID Type / Status
Subject Revelation E536209 entity
Predicate producer P490 FINISHED
Object Greg Charley 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: Greg Charley | Statement: [Revelation, producer, Greg Charley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greg Charley
Context triple: [Revelation, producer, Greg Charley]
  • A. Greg Charley chosen
    Greg Charley is a music producer best known for his work with the American pop and R&B boy band 98°.
  • B. Charlie Lupton
    Charlie Lupton was a notable figure associated with Texas Christian University whose contributions to the school’s athletics led to the university’s baseball stadium being named in his honor.
  • C. Charlie Rowe
    Charlie Rowe is a British actor known for his roles in television dramas and films, including the series "Salvation."
  • D. Charlie Korsmo
    Charlie Korsmo is an American former child actor and current law professor best known for his roles in early 1990s films such as "Dick Tracy," "Hook," and "What About Bob?".
  • E. Rob Carliner
    Rob Carliner is a film producer best known for his work on the acclaimed drama "Crazy Heart."
  • 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_69e0c46c6dd88190a595375fa6ebd701 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69efd97150c08190861bdc35416665a9 completed April 27, 2026, 9:47 p.m.
Created at: April 16, 2026, 6:48 p.m.