Triple

T15992702
Position Surface form Disambiguated ID Type / Status
Subject Tawny Cypress E387873 entity
Predicate notableWork P4 FINISHED
Object K-Ville E646172 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: K-Ville | Statement: [Tawny Cypress, notableWork, K-Ville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: K-Ville
Context triple: [Tawny Cypress, notableWork, K-Ville]
  • A. K-Ville chosen
    K-Ville is an American crime drama television series set in post-Katrina New Orleans, starring Anthony Anderson as a police officer navigating the city’s recovery and persistent violence.
  • B. Ralston
    Ralston is a surname of English and Scottish origin borne by various notable individuals across different fields.
  • C. Pineville
    Pineville is a small town in southern West Virginia that serves as the administrative and commercial center of Wyoming County.
  • D. Woodville
    Woodville is an English noble family most famously associated with Elizabeth Woodville, queen consort of King Edward IV during the Wars of the Roses.
  • E. Woodville
    Woodville is a suburb in Adelaide, South Australia, known as an administrative and residential hub within the western metropolitan area.
  • 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_69d86daa562c81908aacc179c0fe8fb5 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e15785347081908831b4cbc9a2dd45 completed April 16, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3d3ef2881909213ff608192f1ef completed May 9, 2026, 11:31 p.m.
Created at: April 10, 2026, 4:54 a.m.