Triple

T22198833
Position Surface form Disambiguated ID Type / Status
Subject Juno (2007 film) E548619 entity
Predicate producer P490 FINISHED
Object Russell Smith 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: Russell Smith | Statement: [Juno (2007 film), producer, Russell Smith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Russell Smith
Context triple: [Juno (2007 film), producer, Russell Smith]
  • A. Russell Smith chosen
    Russell Smith is a film producer best known for his work on the acclaimed coming-of-age drama "Young Adult."
  • B. Russell Smith
    Russell Smith is an alumnus of Archbishop Molloy High School, a well-known Catholic college preparatory school in Queens, New York.
  • C. Russell Simpson
    Russell Simpson was an American character actor best known for his frequent roles in Westerns and classic Hollywood films, including several collaborations with director John Ford.
  • D. Russell Boyd
    Russell Boyd is an acclaimed Australian cinematographer best known for his work on films such as "Master and Commander: The Far Side of the World," for which he won an Academy Award.
  • E. Greg Smith
    Greg Smith is a British Conservative Party politician who has served as the Member of Parliament for the Buckingham constituency.
  • 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_69e11e3ecc7c8190b5f94cd8f42e9d37 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12ae98808819081582a57bca6312b completed April 28, 2026, 9:47 p.m.
Created at: April 16, 2026, 8:36 p.m.