Triple

T3342241
Position Surface form Disambiguated ID Type / Status
Subject Coach E70285 entity
Predicate starring P1507 FINISHED
Object Jerry Van Dyke E342352 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: Jerry Van Dyke | Statement: [Coach, starring, Jerry Van Dyke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jerry Van Dyke
Context triple: [Coach, starring, Jerry Van Dyke]
  • A. Jerry Van Dyke chosen
    Jerry Van Dyke was an American actor and comedian best known for his television work, including a prominent role on the sitcom "Coach."
  • B. Philip Bruns
    Philip Bruns was an American character actor best known for his television and film roles in the 1970s and 1980s, including his work on the satirical soap opera "Mary Hartman, Mary Hartman."
  • C. Frank Boucher
    Frank Boucher was a Canadian Hall of Fame ice hockey centre and coach best known for his stellar play with the New York Rangers in the NHL.
  • D. Dean Pitchford
    Dean Pitchford is an American songwriter, screenwriter, and director best known for co-writing hit songs like "Footloose" and for his work on the film and musical of the same name.
  • E. Joe Franklin
    Joe Franklin was an American radio and television host famed as a pioneer of the talk show format and for his long-running New York City program.
  • 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_69ad85a405e48190b6e68de7cf9f319e completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb1ee711481909c0d921f1b5b8562 completed March 8, 2026, 5:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3251d49d08190b74483b69024acff completed March 12, 2026, 8:42 p.m.
Created at: March 8, 2026, 3:12 p.m.