Triple

T12171124
Position Surface form Disambiguated ID Type / Status
Subject Iron Mike E289967 entity
Predicate realName P9233 FINISHED
Object Michael Gerard 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: Michael Gerard Tyson | Statement: [Iron Mike, realName, Michael Gerard Tyson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Gerard Tyson
Context triple: [Iron Mike, realName, Michael Gerard 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. Milan Tyson
    Milan Tyson is one of former heavyweight boxing champion Mike Tyson’s daughters, known publicly largely due to her father’s fame.
  • C. Ron Tyson
    Ron Tyson is an American soul and R&B singer best known as a longtime tenor and falsetto vocalist with The Temptations.
  • D. Tyson
    Tyson is the surname of Neil deGrasse Tyson, the prominent American astrophysicist, author, and science communicator.
  • 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_69d6ab4d6c00819095a9a7c35de83cfb completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915d9659481909c75b12aa836bbf3 completed April 10, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a85e42481908c5517a24f7688e0 completed May 2, 2026, 2:30 p.m.
Created at: April 8, 2026, 9:50 p.m.