Triple

T10368295
Position Surface form Disambiguated ID Type / Status
Subject Bandits E244311 entity
Predicate editedBy P1954 FINISHED
Object Stu Linder E526036 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: Stu Linder | Statement: [Bandits, editedBy, Stu Linder]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stu Linder
Context triple: [Bandits, editedBy, Stu Linder]
  • A. Stu Linder chosen
    Stu Linder was an American film editor best known for his long collaboration with director Barry Levinson and his Academy Award-winning work on "Grand Prix."
  • B. Duane Schuler
    Duane Schuler is an American theatrical lighting designer known for his work in opera, including major productions at leading opera houses.
  • C. Larry Steers
    Larry Steers was a prolific American character actor of the silent and early sound film era, appearing in hundreds of movies in mostly uncredited or supporting roles.
  • D. Tom Luddy
    Tom Luddy was an American film producer, curator, and influential cinephile best known as a co-founder and long-time guiding force of the Telluride Film Festival.
  • E. Bill Wittliff
    Bill Wittliff was an American screenwriter, author, and photographer best known for adapting and writing acclaimed Western-themed films and television miniseries.
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e97106448190a075948e63184f47 completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69e5b744b534819095b272ba8943f7b7 completed April 20, 2026, 5:19 a.m.
Created at: April 6, 2026, 12:01 p.m.