Triple

T5043394
Position Surface form Disambiguated ID Type / Status
Subject Arrow in the Dust E113599 entity
Predicate musicBy P1952 FINISHED
Object Marlin Skiles E446690 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: Marlin Skiles | Statement: [Arrow in the Dust, musicBy, Marlin Skiles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marlin Skiles
Context triple: [Arrow in the Dust, 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. 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.
  • D. 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.
  • E. Dean Hargrove
    Dean Hargrove is an American television producer, writer, and director best known for creating and producing popular mystery and legal drama series such as "Matlock," "Perry Mason" TV movies, and other crime-related shows.
  • 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_69bd44391fc48190a311ce9c826c209b completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd73fc04f08190aba851fa0192d0fb completed March 20, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9c87455081908b759eed55730503 completed March 21, 2026, 1:26 p.m.
Created at: March 20, 2026, 1:37 p.m.