Triple

T10514390
Position Surface form Disambiguated ID Type / Status
Subject Freaks and Geeks E247994 entity
Predicate mainCharacter P1183 FINISHED
Object Sam Weir E388629 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: Sam Weir | Statement: [Freaks and Geeks, mainCharacter, Sam Weir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sam Weir
Context triple: [Freaks and Geeks, mainCharacter, Sam Weir]
  • A. Sam Weir chosen
    Sam Weir is the sensitive, geeky high school freshman protagonist of the cult TV series "Freaks and Geeks," known for navigating adolescence alongside his misfit friends.
  • B. Mark Webley
    Mark Webley is a British video game designer and producer best known as a co-founder of Lionhead Studios and his work on influential titles like Black & White and Fable.
  • C. Colin Goad
    Colin Goad is a British maritime administrator who served as Secretary-General of the International Maritime Organization, overseeing global shipping safety and environmental standards.
  • D. Sam Wheeler
    Sam Wheeler is the father of Ted Wheeler, the mayor of Portland, Oregon.
  • E. Guy Weadick
    Guy Weadick was an American-born cowboy, promoter, and showman best known for creating the Calgary Stampede and helping popularize rodeo culture in Canada.
  • 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_69d381c4aa948190942e1d803143fb0e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509cade0c81908fcbd54a90106bf9 completed April 7, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69dbb6db3f2c81908a7cb28ca8e8ebc9 completed April 12, 2026, 3:14 p.m.
Created at: April 6, 2026, 12:27 p.m.