Triple

T23032770
Position Surface form Disambiguated ID Type / Status
Subject King Richard E573508 entity
Predicate producer P490 FINISHED
Object Tim White 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: Tim White | Statement: [King Richard, producer, Tim White]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tim White
Context triple: [King Richard, producer, Tim White]
  • A. Michael R. White
    Michael R. White is an American politician who served as the mayor of Cleveland, Ohio, throughout much of the 1990s, overseeing significant urban development and civic revitalization efforts.
  • B. Timothy P. White
    Timothy P. White is an American academic leader and kinesiologist who served as chancellor of the California State University system and previously led the University of California, Riverside.
  • C. Brian J. White
    Brian J. White is an American actor known for his roles in film and television, including crime dramas and action-oriented series.
  • D. Timothy White chosen
    Timothy White is a film producer known for his work on the adaptation of Peter Carey’s novel "Oscar and Lucinda."
  • E. Jon Miller
    Jon Miller is an acclaimed American sportscaster best known as a longtime Major League Baseball play-by-play announcer, particularly for ESPN and the San Francisco Giants.
  • 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_69e245b911188190bc3d96326c847969 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18482e78c8190a89681eec2edb812 completed April 29, 2026, 4:09 a.m.
Created at: April 17, 2026, 3:53 p.m.