Triple

T14045590
Position Surface form Disambiguated ID Type / Status
Subject Lungs E337947 entity
Predicate producer P490 FINISHED
Object Steve Osborne E550113 NE FINISHED

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: Steve Osborne | Statement: [Lungs, producer, Steve Osborne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steve Osborne
Context triple: [Lungs, producer, Steve Osborne]
  • A. Steve Osborne chosen
    Steve Osborne is a British record producer and mixer known for his work with prominent rock and electronic artists, including remixing tracks for bands like U2.
  • B. Nick Osborne
    Nick Osborne is a film producer best known for his work on the romantic comedy "License to Wed."
  • C. Jim Osborne
    Jim Osborne is the protagonist of the 1952 film noir thriller "The Steel Trap," a bank employee who devises a plan to steal money and flee the country, only to be tormented by guilt and second thoughts.
  • D. Jim Osborne
    Jim Osborne is an American sculptor best known for creating the iconic Screen Actors Guild (SAG) Award statuette.
  • E. David Saxon
    David Saxon is a film editor best known for his work on the classic 1971 musical fantasy film "Willy Wonka & the Chocolate Factory."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d81c664e48819088cbd8f433aeffe5 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de312df37081909f45ce3e219af5dc completed April 14, 2026, 12:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc34148348190a8c67e035646e431 completed May 6, 2026, 10:40 p.m.
Created at: April 9, 2026, 10:20 p.m.