Triple

T10750962
Position Surface form Disambiguated ID Type / Status
Subject Bug (2006 film) E253569 entity
Predicate setting P1957 FINISHED
Object Oklahoma E34528 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: Oklahoma | Statement: [Bug (2006 film), setting, Oklahoma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oklahoma
Context triple: [Bug (2006 film), setting, Oklahoma]
  • A. Oklahoma chosen
    Oklahoma is a landlocked state in the south-central United States known for its Native American heritage, energy industry, and mix of Great Plains and forested landscapes.
  • B. Kansas, Alabama
    Kansas, Alabama is a small unincorporated rural community located in Walker County in the U.S. state of Alabama.
  • C. Teksas
    Teksas is the famously passionate and vocal supporter group of the Turkish football club Bursaspor, known for its intense atmosphere and choreographies at matches.
  • D. Texas
    Texas is the second-largest U.S. state by both area and population, known for its diverse landscapes, major cities like Houston and Dallas, and significant cultural and economic influence.
  • E. Arkansas
    Arkansas is a landlocked state in the southern United States known for its diverse geography, including the Ozark and Ouachita Mountains, forests, and fertile plains.
  • 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_69d6aa5e51e8819095f06881cecf152e completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d71dc0ad188190b747bf9d10cf5de5 completed April 9, 2026, 3:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69de55a12b8c8190bbeeb6d176f42b49 completed April 14, 2026, 2:56 p.m.
Created at: April 8, 2026, 9:15 p.m.