Triple

T3885559
Position Surface form Disambiguated ID Type / Status
Subject Bad Boy for Life E92930 entity
Predicate musicVideoCameo P51625 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: [Bad Boy for Life, musicVideoCameo, Mike Tyson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mike Tyson
Context triple: [Bad Boy for Life, musicVideoCameo, 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. Ron Tyson
    Ron Tyson is an American soul and R&B singer best known as a longtime tenor and falsetto vocalist with The Temptations.
  • E. Milan Tyson
    Milan Tyson is one of former heavyweight boxing champion Mike Tyson’s daughters, known publicly largely due to her father’s fame.
  • 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_69aed9697de0819087c2559295ff3d12 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aef90e5f408190abf8353e153d1558 completed March 9, 2026, 4:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5125bee048190ba7553797e9fd254 completed March 14, 2026, 7:46 a.m.
Created at: March 9, 2026, 3:20 p.m.