Triple

T21618321
Position Surface form Disambiguated ID Type / Status
Subject Audra McDonald E533504 entity
Predicate spouse P13 FINISHED
Object Will Swenson NE NERFINISHED

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: Will Swenson | Statement: [Audra McDonald, spouse, Will Swenson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Will Swenson
Context triple: [Audra McDonald, spouse, Will Swenson]
  • A. Will Swenson chosen
    Will Swenson is an American actor and singer best known for his work in musical theatre, including his Tony-nominated performance in the Broadway revival of "Hair."
  • B. Danny Wagner
    Danny Wagner is the drummer for the American rock band Greta Van Fleet.
  • C. Jesse Andrews
    Jesse Andrews is an American novelist and screenwriter best known for writing the young adult novel "Me and Earl and the Dying Girl" and co-writing its film adaptation.
  • D. Torrey Hanson
    Torrey Hanson is an actor known for his role in the television adaptation of "The Exorcist."
  • E. Patrick Whitesell
    Patrick Whitesell is a prominent American talent agent and entertainment executive, best known as a top leader and co-founder of the global media and talent representation company Endeavor.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c46411108190bba0d4176dffc9f3 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef3bac4a5c8190919c625c14a54c16 completed April 27, 2026, 10:34 a.m.
Created at: April 16, 2026, 6:34 p.m.