Triple

T19828674
Position Surface form Disambiguated ID Type / Status
Subject Charley Waite E476396 entity
Predicate createdForWork P7551 FINISHED
Object Open Range 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: Open Range | Statement: [Charley Waite, createdForWork, Open Range]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Open Range
Context triple: [Charley Waite, createdForWork, Open Range]
  • A. Open Range chosen
    Open Range is a 2003 Western film directed by and starring Kevin Costner, known for its classic frontier setting, strong character-driven storytelling, and realistic depictions of gunfights.
  • B. The Open Range Men
    The Open Range Men is a Western novel that inspired the film "Open Range," centering on free‑grazing cattlemen and their conflicts on the American frontier.
  • C. Ranchland
    Ranchland is a small rural community in southern Alberta, Canada, known for its agricultural and ranching landscape within the Municipal District of Willow Creek No. 26.
  • D. Landman
    Landman is a surname of English origin, sometimes appearing as a variant spelling of "Lanman."
  • E. Red Country
    Red Country is a gritty fantasy novel by British author Joe Abercrombie, set in his First Law world and blending Western-style themes with dark, character-driven adventure.
  • 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_69d8e51c7c188190b926f3a2a7b5f881 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e656cc0f2c81908137caa4c2087027 completed April 20, 2026, 4:39 p.m.
Created at: April 10, 2026, 1:50 p.m.