Triple

T17666064
Position Surface form Disambiguated ID Type / Status
Subject Patrick Muldoon E440385 entity
Predicate name P16 FINISHED
Object Patrick Muldoon 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: Patrick Muldoon | Statement: [Patrick Muldoon, name, Patrick Muldoon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Patrick Muldoon
Context triple: [Patrick Muldoon, name, Patrick Muldoon]
  • A. Patrick Muldoon chosen
    Patrick Muldoon is an American actor best known for his roles in the sci-fi film "Starship Troopers" and the soap opera "Days of Our Lives."
  • B. Patrick Mulvaney
    Patrick Mulvaney is one of the central members of the Mulvaney family in Joyce Carol Oates’s novel "We Were the Mulvaneys," whose experiences reflect the story’s themes of trauma, family dissolution, and the struggle for redemption.
  • C. Tom Muldoon
    Tom Muldoon is a film editor known for his work on major Hollywood productions, including the action blockbuster "Transformers: Revenge of the Fallen."
  • D. Patrick McKenna
    Patrick McKenna is a British media and entertainment executive and entrepreneur best known for founding the investment and advisory firm Ingenious Media.
  • E. Jack Mulhall
    Jack Mulhall was an American film actor best known for his prolific work in silent films and early talkies during the 1920s and 1930s.
  • 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_69d8b9e87e18819087104a44dc4dc5b1 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e46ea9d91c81908414ef38c7fb36a4 completed April 19, 2026, 5:56 a.m.
Created at: April 10, 2026, 9:57 a.m.