Triple

T11346351
Position Surface form Disambiguated ID Type / Status
Subject Van Chancellor E268723 entity
Predicate name P16 FINISHED
Object Van Chancellor E268723 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: Van Chancellor | Statement: [Van Chancellor, name, Van Chancellor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Van Chancellor
Context triple: [Van Chancellor, name, Van Chancellor]
  • A. Van Chancellor chosen
    Van Chancellor is a Hall of Fame basketball coach best known for leading the Houston Comets to four consecutive WNBA championships and for his long, successful career in women’s college and professional basketball.
  • B. Brian David Willis
    Brian David Willis is a musician best known as a member of the American rock band Quarterflash.
  • C. Leo Willis
    Leo Willis was an American character actor active during the silent and early sound film eras, often appearing in comedies alongside stars like Harold Lloyd.
  • D. Ray Wise
    Ray Wise is an American character actor known for his versatile roles in film and television, including memorable performances in "Twin Peaks," "RoboCop," and numerous other genre and dramatic works.
  • E. Michael Vidal
    Michael Vidal is a local political leader who serves as the mayor of the Maltese town of Ramla.
  • 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_69d6aacbe18081909e5fadb50082dd96 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea214bb88190bb66f7fd3ef73081 completed April 9, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69e58b8d5f5c8190a80a52f2063bb5b0 completed April 20, 2026, 2:12 a.m.
Created at: April 8, 2026, 9:33 p.m.