Triple

T12646498
Position Surface form Disambiguated ID Type / Status
Subject Milan Tyson E302037 entity
Predicate siblingOf P363 FINISHED
Object Miguel Tyson E289977 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: Miguel Tyson | Statement: [Milan Tyson, siblingOf, Miguel Tyson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miguel Tyson
Context triple: [Milan Tyson, siblingOf, Miguel Tyson]
  • A. Miguel Tyson chosen
    Miguel Tyson is one of former heavyweight boxing champion Mike Tyson’s sons.
  • 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. Anthony Tolliver
    Anthony Tolliver is an American professional basketball player known for his long NBA career as a versatile, three-point-shooting forward and respected locker-room veteran.
  • D. Miguel Vargas
    Miguel Vargas is the principled Mexican narcotics official portrayed by Charlton Heston in Orson Welles's classic film noir "Touch of Evil."
  • E. Exodus Tyson
    Exodus Tyson was the young daughter of former heavyweight boxing champion Mike Tyson, whose tragic accidental death in 2009 drew widespread public sympathy.
  • 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_69d7bdec9f9c8190b4bac675b7588211 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9614cefdc81908cfc4a4d04aa6eda completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69b88d7048190bb584aa48bba5288 completed May 3, 2026, 12:49 a.m.
Created at: April 9, 2026, 5:17 p.m.