Triple

T6015672
Position Surface form Disambiguated ID Type / Status
Subject Peter Weller E133943 entity
Predicate notableWork P4 FINISHED
Object Longmire E244231 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: Longmire | Statement: [Peter Weller, notableWork, Longmire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Longmire
Context triple: [Peter Weller, notableWork, Longmire]
  • A. Longmire
    Longmire is a historic district and visitor area in Mount Rainier National Park known for its early park facilities, museum, and trail access.
  • B. Longmire chosen
    Longmire is a modern Western crime drama television series centered on a Wyoming sheriff investigating crimes while coping with personal and community challenges.
  • C. Deadwood
    Deadwood is a critically acclaimed HBO Western drama series known for its gritty portrayal of a lawless 1870s South Dakota mining town and its complex, profanity-laced dialogue.
  • D. Gunsmoke
    Gunsmoke is a classic American Western television series that follows U.S. Marshal Matt Dillon as he maintains law and order in the frontier town of Dodge City.
  • E. The Iron Sheriff
    The Iron Sheriff is a 1957 American Western film starring Sterling Hayden as a lawman torn between duty and family loyalty.
  • 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_69c0087361a48190905c6b55969852b8 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04f80ec108190ae9711727debb061 completed March 22, 2026, 8:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c108ade3948190994fbaa2a5539216 completed March 23, 2026, 9:32 a.m.
Created at: March 22, 2026, 4:06 p.m.