Triple

T17573343
Position Surface form Disambiguated ID Type / Status
Subject Odette Yustman E427994 entity
Predicate spouse P13 FINISHED
Object Dave Annable 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: Dave Annable | Statement: [Odette Yustman, spouse, Dave Annable]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dave Annable
Context triple: [Odette Yustman, spouse, Dave Annable]
  • A. Dave Annable chosen
    Dave Annable is an American actor best known for his prominent television roles, including his starring part on the family drama series "Brothers & Sisters."
  • B. Heather Wahlquist
    Heather Wahlquist is an American actress and screenwriter known for her collaborations with filmmaker Nick Cassavetes, including roles in films such as "Alpha Dog."
  • C. DeAnna Madsen
    DeAnna Madsen is an American actress known for her supporting roles in film and television and for being married to actor Michael Madsen.
  • D. Dana DeMuth
    Dana DeMuth is a longtime Major League Baseball umpire who has officiated numerous postseason games, including multiple World Series.
  • E. Shauna Shipman
    Shauna Shipman is a central character in the TV series "Yellowjackets," portrayed as a complex survivor whose past trauma and secrets deeply shape the show's present-day storyline.
  • 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_69d889e0385081908a04b66f4dd4bd0d completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e459330c788190907a02fc98e0e24b completed April 19, 2026, 4:25 a.m.
Created at: April 10, 2026, 5:50 a.m.