Triple

T4825666
Position Surface form Disambiguated ID Type / Status
Subject Leon Riley E107818 entity
Predicate child P120 FINISHED
Object Pat Riley E13131 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: Pat Riley | Statement: [Leon Riley, child, Pat Riley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pat Riley
Context triple: [Leon Riley, child, Pat Riley]
  • A. Pat Riley chosen
    Pat Riley is a Hall of Fame NBA coach and executive best known for leading the Showtime-era Los Angeles Lakers and later building championship teams with the Miami Heat.
  • B. Red Holzman
    Red Holzman was a Hall of Fame basketball coach best known for leading the New York Knicks to two NBA championships in the early 1970s.
  • C. Phil Jackson
    Phil Jackson is a legendary NBA coach best known for leading the Chicago Bulls and Los Angeles Lakers to multiple championships using his triangle offense and player-centric, Zen-influenced coaching style.
  • D. Dan Alderson
    Dan Alderson was an American scientist and science fiction fan best known for his imaginative astrophysical concepts, including the theoretical Alderson disk megastructure.
  • E. Pat Gillick
    Pat Gillick is a Hall of Fame Major League Baseball executive best known for building multiple World Series–winning teams as a general manager.
  • 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_69bd43fac8188190803f0327190621e4 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6caf22308190a2048ec6acfa5af2 completed March 20, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4dca2b708190ac05c91ba04d9ff6 completed March 21, 2026, 7:50 a.m.
Created at: March 20, 2026, 1:24 p.m.