Triple

T15437075
Position Surface form Disambiguated ID Type / Status
Subject Scandal E369791 entity
Predicate cinematographyBy P1953 FINISHED
Object Mike Molloy 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: Mike Molloy | Statement: [Scandal, cinematographyBy, Mike Molloy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mike Molloy
Context triple: [Scandal, cinematographyBy, Mike Molloy]
  • A. Mike Molloy chosen
    Mike Molloy is a cinematographer best known for his work on the British crime film "The Hit."
  • B. Matt Molloy
    Matt Molloy is an acclaimed Irish flautist best known for his work with the traditional supergroup The Chieftains and his influential role in modern Irish folk music.
  • C. Michael Maloney
    Michael Maloney is a British actor known for his work in film, television, and theatre, including prominent roles in Shakespearean adaptations.
  • D. Mike O’Shea
    Mike O’Shea is a Canadian football coach and former linebacker best known for leading the Winnipeg Blue Bombers to multiple Grey Cup championships in the CFL.
  • E. Greg Mollica
    Greg Mollica is an illustrator and designer known for creating book cover art, including the cover of Ta-Nehisi Coates’s novel "The Water Dancer."
  • 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_69d85a19180081909925012fbf4e62a3 completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03edca064819081510bf303271062 completed April 16, 2026, 1:43 a.m.
Created at: April 10, 2026, 3:21 a.m.