Triple

T23318779
Position Surface form Disambiguated ID Type / Status
Subject Performance E590786 entity
Predicate mainCharacter P1183 FINISHED
Object Turner NE NERFINISHED

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: Turner | Statement: [Performance, mainCharacter, Turner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Turner
Context triple: [Performance, mainCharacter, Turner]
  • A. Turner
    Turner is a common English surname borne by numerous notable individuals across politics, arts, sports, and entertainment.
  • B. Turner
    Turner is an inner-city suburb of Canberra, Australia, known for its leafy streets, mix of residential and commercial areas, and proximity to the city centre and Australian National University.
  • C. Turner Whitted
    Turner Whitted is a pioneering computer graphics researcher best known for introducing recursive ray tracing, a foundational technique for realistic image synthesis.
  • D. Sketch Turner chosen
    Sketch Turner is the protagonist of the 1995 Sega Genesis beat ’em up game Comix Zone, depicted as a comic book artist who is pulled into his own comic world to fight its villains.
  • E. Turner Layton
    Turner Layton was an American songwriter, pianist, and singer best known for co-writing popular early 20th-century standards such as "After You've Gone" and "Way Down Yonder in New Orleans."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e25d1d32188190948eb76909d1dcc3 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1978372948190bad066893c4e0768 completed April 29, 2026, 5:30 a.m.
Created at: April 17, 2026, 5:07 p.m.