Triple

T22574109
Position Surface form Disambiguated ID Type / Status
Subject Kris Swanberg E544347 entity
Predicate producerOf P490 FINISHED
Object Empire Builder 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: Empire Builder | Statement: [Kris Swanberg, producerOf, Empire Builder]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Empire Builder
Context triple: [Kris Swanberg, producerOf, Empire Builder]
  • A. Empire Builder
    Empire Builder is a long-distance Amtrak passenger train route that runs between Chicago and the Pacific Northwest, known for its scenic journey through the northern United States.
  • B. Empire Builder chosen
    Empire Builder is an independent drama film directed by Kris Swanberg that explores themes of motherhood, identity, and personal transformation.
  • C. Railmaster
    Railmaster is a line of Omega wristwatches originally designed for railway workers and engineers, known for their robust construction and strong anti-magnetic properties.
  • D. Tycoon
    Tycoon is a Russian crime drama film directed by Pavel Lungin that portrays the rise and fall of a powerful oligarch in post-Soviet Russia.
  • E. Train of the Stars
    Train of the Stars was the glamorous, celebrity-favored Super Chief passenger train that ran between Chicago and Los Angeles on the Atchison, Topeka and Santa Fe Railway.
  • 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_69e11e30d05481909df915354c89f0d6 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f15fea683c81908fbf9f171eed3341 completed April 29, 2026, 1:33 a.m.
Created at: April 16, 2026, 8:53 p.m.