Triple

T21822061
Position Surface form Disambiguated ID Type / Status
Subject UCLA Bruins men's volleyball E538750 entity
Predicate notableCoach P550 FINISHED
Object Al Scates 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: Al Scates | Statement: [UCLA Bruins men's volleyball, notableCoach, Al Scates]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Al Scates
Context triple: [UCLA Bruins men's volleyball, notableCoach, Al Scates]
  • A. Al Scates chosen
    Al Scates is a legendary American volleyball coach best known for leading UCLA to numerous NCAA men's volleyball championships over several decades.
  • B. Ron Barrett
    Ron Barrett is an American illustrator best known for his whimsical artwork in the classic children's book "Cloudy with a Chance of Meatballs."
  • C. Keith Batey
    Keith Batey was a British codebreaker and intelligence officer who worked at Bletchley Park during World War II, notably alongside his wife, fellow cryptanalyst Mavis Batey.
  • D. Greg Latter
    Greg Latter is a screenwriter best known for his work on the apartheid-era drama film "Goodbye Bafana."
  • E. Glenn Slater
    Glenn Slater is an American lyricist best known for his work on Broadway and film musicals, frequently partnering with composer Alan Menken on projects such as "The Little Mermaid" stage adaptation and "Tangled."
  • 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_69e0c475038c8190abb9b1a20eb8ff50 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0912e432481909045d00a61daa767 completed April 28, 2026, 10:51 a.m.
Created at: April 16, 2026, 6:54 p.m.