Triple

T20410427
Position Surface form Disambiguated ID Type / Status
Subject Save Me, San Francisco E500573 entity
Predicate producer P490 FINISHED
Object Pat Monahan 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: Pat Monahan | Statement: [Save Me, San Francisco, producer, Pat Monahan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pat Monahan
Context triple: [Save Me, San Francisco, producer, Pat Monahan]
  • A. Pat Monahan chosen
    Pat Monahan is an American singer-songwriter best known as the lead vocalist of the rock band Train.
  • B. Jacq Monahan
    Jacq Monahan is a science fiction fan and writer best known for her work as a co-editor of the fanzine Journey Planet.
  • C. Patrick Monahan
    Patrick Monahan is a Canadian legal scholar and former provost of York University, known for his expertise in constitutional law and public policy.
  • D. David O'Hara
    David O'Hara is a Scottish actor known for his versatile character roles in film and television, including appearances in productions such as Braveheart, The Departed, and various crime dramas.
  • E. J. J. Connolly
    J. J. Connolly is a British author and screenwriter best known for his crime novel "Layer Cake" and its film adaptation.
  • 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_69e0b4a935588190b9446a99b37ced44 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67a3ecb348190ae777f6276037828 completed April 20, 2026, 7:10 p.m.
Created at: April 16, 2026, 11:29 a.m.