Triple

T17865545
Position Surface form Disambiguated ID Type / Status
Subject The Maze E446688 entity
Predicate musicBy P1952 FINISHED
Object Marlin Skiles 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: Marlin Skiles | Statement: [The Maze, musicBy, Marlin Skiles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marlin Skiles
Context triple: [The Maze, musicBy, Marlin Skiles]
  • A. Marlin Skiles chosen
    Marlin Skiles was an American film composer known for scoring numerous Hollywood movies, particularly in the mid-20th century.
  • B. Pat Gillick
    Pat Gillick is a Hall of Fame Major League Baseball executive best known for building multiple World Series–winning teams as a general manager.
  • C. Kevin Coyle
    Kevin Coyle is an American football coach best known for his extensive defensive coaching roles in the NFL and college football, including serving as defensive coordinator for the Miami Dolphins.
  • D. Bo Ryan
    Bo Ryan is an American basketball coach best known for his successful tenure leading the University of Wisconsin men's basketball program, where he built a nationally respected, defense-oriented team.
  • E. Bill Fitch
    Bill Fitch was an American basketball coach best known for leading the Boston Celtics to the 1981 NBA championship and for his reputation as a demanding, turnaround specialist.
  • 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_69d8b9f4c22c819093c2680434472894 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49793a2588190bb341ac606d767fe completed April 19, 2026, 8:51 a.m.
Created at: April 10, 2026, 10:17 a.m.