Triple

T10771184
Position Surface form Disambiguated ID Type / Status
Subject North Country E254081 entity
Predicate producer P490 FINISHED
Object Scott Lambert E254081 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: Scott Lambert | Statement: [North Country, producer, Scott Lambert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scott Lambert
Context triple: [North Country, producer, Scott Lambert]
  • A. Scott Lambert
    Scott Lambert is a film producer known for his work on acclaimed projects including the psychological drama "Tár."
  • B. Scott Lambert chosen
    Scott Lambert is a film producer known for his work on the drama film "North Country."
  • C. Gary Lambert
    Gary Lambert is a central figure in Jonathan Franzen's novel "The Corrections," portrayed as an anxious, financially driven Midwestern son struggling with family expectations and personal dissatisfaction.
  • D. John Lambert
    John Lambert was a prominent Parliamentarian general and political figure during the English Civil Wars, noted for his military skill and later role in the republican government.
  • E. John Lambert
    John Lambert was a British Army general of the Napoleonic era, noted for leading British forces in the aftermath of the failed assault at the Battle of New Orleans.
  • 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_69d6aa5f54f4819082d0bbcb6f8797e6 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d732314bcc8190980c6f698f64ccf5 completed April 9, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69e23b5e37588190be7a7b571f5565c7 completed April 17, 2026, 1:53 p.m.
Created at: April 8, 2026, 9:16 p.m.