Triple

T22546548
Position Surface form Disambiguated ID Type / Status
Subject Out to Sea E557443 entity
Predicate starring P1507 FINISHED
Object Edward Mulhare 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: Edward Mulhare | Statement: [Out to Sea, starring, Edward Mulhare]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edward Mulhare
Context triple: [Out to Sea, starring, Edward Mulhare]
  • A. Edward Mulhare chosen
    Edward Mulhare was an Irish actor best known for his roles in film, television, and theatre, including the TV series "Knight Rider" and the stage and screen versions of "The Ghost & Mrs. Muir."
  • B. Christopher York
    Christopher York is one of the children of American actor Dick York, best known for his role as the original Darrin Stephens on the television series "Bewitched."
  • C. Clifton Daniel
    Clifton Daniel was an American newspaper editor and managing editor of The New York Times, known also as the son-in-law of U.S. President Harry S. Truman.
  • D. Ted McClain
    Ted McClain is a former professional basketball guard best known for his playmaking and defensive tenacity in the ABA and NBA during the 1970s.
  • E. Paul Dooley
    Paul Dooley is an American character actor, writer, and comedian known for his roles in films such as "Breaking Away," "Sixteen Candles," and numerous television series.
  • 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_69e11e58662081909ae346ab384514ca completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15f35b9888190b4e1b50d5097b211 completed April 29, 2026, 1:30 a.m.
Created at: April 16, 2026, 8:52 p.m.