Triple

T10282663
Position Surface form Disambiguated ID Type / Status
Subject Niki Caro E241142 entity
Predicate notableWork P4 FINISHED
Object McFarland, USA E137188 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: McFarland, USA | Statement: [Niki Caro, notableWork, McFarland, USA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: McFarland, USA
Context triple: [Niki Caro, notableWork, McFarland, USA]
  • A. McFarland, USA chosen
    McFarland, USA is a 2015 sports drama film based on the true story of a high school cross-country team in a Latino community that overcomes social and economic challenges to achieve success.
  • B. McFarland
    McFarland is a small agricultural city in California’s Central Valley, known for its farming community and as the inspiration for the film "McFarland, USA."
  • C. McFarland
    McFarland is a suburban village in south-central Wisconsin, located just southeast of Madison in Dane County.
  • D. McFarland
    McFarland is a surname of Scottish and Irish origin borne by various notable individuals across sports, politics, and the arts.
  • E. Only the Brave
    Only the Brave is a 2017 biographical drama film that chronicles the true story of the Granite Mountain Hotshots, an elite firefighting team battling wildfires in Arizona.
  • 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_69d381a94c1881908fc38fc263d9b9c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2a22f9881908b220dbe1e80c101 completed April 7, 2026, 9:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71d012ae481909633b1333dc88b63 completed April 9, 2026, 3:29 a.m.
Created at: April 6, 2026, 11:39 a.m.