Triple

T4722051
Position Surface form Disambiguated ID Type / Status
Subject Super Bowl X E104790 entity
Predicate referee P268 FINISHED
Object Norm Schachter E235598 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: Norm Schachter | Statement: [Super Bowl X, referee, Norm Schachter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norm Schachter
Context triple: [Super Bowl X, referee, Norm Schachter]
  • A. Norm Schachter chosen
    Norm Schachter was a prominent American football official best known for serving as the referee in the first three Super Bowls.
  • B. Mitch Kertzman
    Mitch Kertzman is an American technology executive and entrepreneur best known for his leadership roles in the software and semiconductor industries, including at companies like LSI Logic and Sybase.
  • C. Vern Schillinger
    Vern Schillinger is a fictional white supremacist prison leader and one of the primary antagonists on the HBO series "Oz," portrayed by actor J.K. Simmons.
  • D. Joseph Wechsler
    Joseph Wechsler was an individual of sufficient local or historical significance to be recognized as a notable burial at Mount Olivet Cemetery in Frederick, Maryland.
  • E. Larry Brezner
    Larry Brezner was an American film producer and talent manager known for producing popular comedies such as "Good Morning, Vietnam," "The 'Burbs," and "Ride Along."
  • 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_69bd43ed84648190ae0b7ee8e8d00482 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd642b82008190bb70dd60a4149502 completed March 20, 2026, 3:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf953024f88190abca4affb92eca13 completed March 22, 2026, 7:07 a.m.
Created at: March 20, 2026, 1:18 p.m.