Triple

T14643530
Position Surface form Disambiguated ID Type / Status
Subject Donna Dixon E343784 entity
Predicate coStarredWith P14987 FINISHED
Object Mike Myers E240204 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 Myers | Statement: [Donna Dixon, coStarredWith, Mike Myers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mike Myers
Context triple: [Donna Dixon, coStarredWith, Mike Myers]
  • A. Mike Myers chosen
    Mike Myers is a Canadian actor, comedian, screenwriter, and producer best known for creating and starring in the Austin Powers film series and for his work on Saturday Night Live.
  • B. Mike A. Myers
    Mike A. Myers is a benefactor and namesake associated with the University of Texas at Austin, known primarily for his philanthropy in supporting its athletic facilities.
  • C. Will Murray
    Will Murray is an American writer best known for his extensive work continuing classic pulp fiction series, particularly the Doc Savage novels.
  • D. Michael Ian Black
    Michael Ian Black is an American comedian, actor, writer, and director known for his work on "The State," "Stella," and numerous stand-up and television appearances.
  • E. Michael McKean
    Michael McKean is an American actor, comedian, and musician best known for his roles in "This Is Spinal Tap," the sitcom "Laverne & Shirley," and the television series "Better Call Saul."
  • 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_69d822e1a2cc81908e5bb93cf61ce3cc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4e80aa48190884bab800f357106 completed April 14, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5d404e881908d26e684702ae122 completed May 8, 2026, 12:23 p.m.
Created at: April 10, 2026, 1:26 a.m.