Triple

T22372567
Position Surface form Disambiguated ID Type / Status
Subject Mtume E553077 entity
Predicate associatedAct P37 FINISHED
Object Reggie Lucas 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: Reggie Lucas | Statement: [Mtume, associatedAct, Reggie Lucas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reggie Lucas
Context triple: [Mtume, associatedAct, Reggie Lucas]
  • A. Reggie Lucas chosen
    Reggie Lucas was an American guitarist, songwriter, and Grammy-winning record producer best known for his work with Miles Davis and on Madonna’s early recordings.
  • B. Nelson Wilbury
    Nelson Wilbury is a pseudonym used by George Harrison as a member of the Traveling Wilburys, the supergroup that recorded the song "Tweeter and the Monkey Man."
  • C. Reggie Smith
    Reggie Smith is a former Major League Baseball outfielder and switch-hitter best known as a seven-time All-Star who starred for the Boston Red Sox, St. Louis Cardinals, and Los Angeles Dodgers in the late 1960s and 1970s.
  • D. Reggie Smith
    Reggie Smith is an American college football official best known for serving as a referee in major NCAA bowl games.
  • E. Reggie Yates
    Reggie Yates is a British actor, television presenter, and filmmaker known for his work on UK television and in socially focused documentaries.
  • 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_69e11e4c03248190a26a5060ea6973ee completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15804f1b08190b57689e6afb615a0 completed April 29, 2026, 12:59 a.m.
Created at: April 16, 2026, 8:44 p.m.