Triple

T15883434
Position Surface form Disambiguated ID Type / Status
Subject WrestleMania E385129 entity
Predicate hasNotableCelebrityParticipant P17435 FINISHED
Object Mike Tyson E58450 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: Mike Tyson | Statement: [WrestleMania, hasNotableCelebrityParticipant, Mike Tyson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mike Tyson
Context triple: [WrestleMania, hasNotableCelebrityParticipant, Mike Tyson]
  • A. Mike Tyson chosen
    Mike Tyson is a former American heavyweight boxing champion renowned for his explosive power, intimidating style, and status as one of the most famous and controversial figures in boxing history.
  • B. Tyson
    Tyson is the surname of Neil deGrasse Tyson, the prominent American astrophysicist, author, and science communicator.
  • C. Tyson
    Tyson is a character in the musical and film "Black Nativity," contributing to its contemporary retelling of the Nativity story through a modern African-American lens.
  • D. Tyson
    Tyson is a major American brand of processed chicken and other meat products widely sold in grocery stores and foodservice outlets.
  • E. Tyson
    Tyson is a masculine given name commonly used in English-speaking countries.
  • 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_69d86da4e86481909f1325fdc971b5ec completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1828cd83c8190a3e15cccc8342c1f completed April 17, 2026, 12:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffa95466e08190a967114821651e60 completed May 9, 2026, 9:38 p.m.
Created at: April 10, 2026, 4:51 a.m.