Triple

T21994252
Position Surface form Disambiguated ID Type / Status
Subject Made for Love E543162 entity
Predicate executiveProducer P7225 FINISHED
Object Patrick Somerville 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 Somerville | Statement: [Made for Love, executiveProducer, Patrick Somerville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Patrick Somerville
Context triple: [Made for Love, executiveProducer, Patrick Somerville]
  • A. Patrick Somerville chosen
    Patrick Somerville is an American novelist and television writer-producer known for creating the Netflix limited series "Maniac" and the post-apocalyptic drama "Station Eleven."
  • B. Brian Sweeney
    Brian Sweeney is a relatively common personal name shared by multiple individuals, including professionals in fields such as sports, business, and the arts.
  • C. Pat Sweeney
    Pat Sweeney is a name shared by several notable individuals, including politicians and public figures in the United States and Ireland.
  • D. Mike Molloy
    Mike Molloy is a cinematographer best known for his work on the British crime film "The Hit."
  • E. Nick O'Brien
    Nick O'Brien is a hard-edged, morally ambiguous Los Angeles County Sheriff's detective who leads an elite unit in the crime thriller film "Den of Thieves."
  • 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_69e11e2c814c8190837d072789000486 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127639bf48190800b3fa3c1527983 completed April 28, 2026, 9:32 p.m.
Created at: April 16, 2026, 8:17 p.m.