Triple

T731399
Position Surface form Disambiguated ID Type / Status
Subject Norman Cook E14837 entity
Predicate memberOf P10 FINISHED
Object Pizzaman E85886 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: Pizzaman | Statement: [Norman Cook, memberOf, Pizzaman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pizzaman
Context triple: [Norman Cook, memberOf, Pizzaman]
  • A. Pizzaman chosen
    Pizzaman is an electronic music project and alias of British DJ and producer Norman Cook, better known as Fatboy Slim.
  • B. Pizza Hut
    Pizza Hut is a global American restaurant chain known for its pizza, pasta, and other Italian-American dishes, operating thousands of locations worldwide.
  • C. Pizza Hut Park
    Pizza Hut Park, now known as Toyota Stadium, is a soccer-specific stadium in Frisco, Texas that hosts professional matches and major tournaments.
  • D. Fatman Scoop
    Fatman Scoop is an American hype man, rapper, and radio personality best known for his booming voice and energetic club anthems like the hit single "Be Faithful."
  • E. T-Rex Cafe
    T-Rex Cafe is a dinosaur-themed family restaurant and entertainment venue known for its prehistoric decor, animatronic creatures, and interactive dining experience.
  • 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_69a4934d9930819099eed80096b0597d completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a5c40b6481909db9efd7310850b3 completed March 1, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69a64a5c9d248190b0bebfd0e999643a completed March 3, 2026, 2:41 a.m.
Created at: March 1, 2026, 7:37 p.m.