Triple

T21736597
Position Surface form Disambiguated ID Type / Status
Subject Jonathan Lisco E536540 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: [Jonathan Lisco, notableWork, K-Ville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: K-Ville
Context triple: [Jonathan Lisco, 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 village and civil parish in South Derbyshire, England, known historically for its pottery and pipe-making industries.
  • 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_69e0c46df5448190b4322127ffc4c690 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69effd0c0a088190bd1926fa4b73d8f4 completed April 28, 2026, 12:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a2ed417ec8190b2e5eeb991befdc6 completed May 17, 2026, 9:10 p.m.
Created at: April 16, 2026, 6:49 p.m.