Triple

T2614346
Position Surface form Disambiguated ID Type / Status
Subject Super Bowl V E58850 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 V, referee, Norm Schachter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norm Schachter
Context triple: [Super Bowl V, 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. 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.
  • C. 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.
  • D. Don Katz
    Don Katz is an American entrepreneur and author best known as the founder of the audiobook and spoken-word entertainment company Audible.
  • E. Howard Lasnik
    Howard Lasnik is a prominent American linguist known for his influential work in generative syntax and his close collaboration with Noam Chomsky in developing contemporary syntactic theory.
  • 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_69ab4ac444dc819099614e534dd6021f completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd87fb87c819093b02c67c76d51fd completed March 7, 2026, 7:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69b44ec039e881909660350b98d79ba1 completed March 13, 2026, 5:52 p.m.
Created at: March 6, 2026, 9:50 p.m.