Triple

T13702143
Position Surface form Disambiguated ID Type / Status
Subject Bellaire, Ohio E328544 entity
Predicate hasNotableResident P1092 FINISHED
Object Ted Levine E65187 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: Ted Levine | Statement: [Bellaire, Ohio, hasNotableResident, Ted Levine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ted Levine
Context triple: [Bellaire, Ohio, hasNotableResident, Ted Levine]
  • A. Ted Levine chosen
    Ted Levine is an American character actor best known for his chilling portrayal of serial killer Buffalo Bill in the film "The Silence of the Lambs."
  • B. Brian Reynolds
    Brian Reynolds is a technology entrepreneur best known as a founder of the enterprise software company Micro Focus.
  • C. Warren Spector
    Warren Spector is an influential American video game designer and producer best known for pioneering immersive sim titles such as Deus Ex and System Shock.
  • D. Neil Druckmann
    Neil Druckmann is a video game writer, director, and executive at Naughty Dog best known for co-creating and writing The Last of Us franchise and its television adaptation.
  • E. Richard Devine
    Richard Devine is an American electronic musician and sound designer known for his complex, experimental compositions and work in film, games, and technology.
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dcad162158819089280ee1e6b5c2cf completed April 13, 2026, 8:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69f794575d3881908de6ed988d848918 completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:54 p.m.