Triple

T17182064
Position Surface form Disambiguated ID Type / Status
Subject Voyager E417007 entity
Predicate composer P1361 FINISHED
Object Stanley Myers E226089 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: Stanley Myers | Statement: [Voyager, composer, Stanley Myers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stanley Myers
Context triple: [Voyager, composer, Stanley Myers]
  • A. Stanley Myers chosen
    Stanley Myers was a British film composer best known for his evocative scores, including the iconic music for the film "The Deer Hunter."
  • B. Stanley Hudson
    Stanley Hudson is a gruff, crossword-loving sales representative at Dunder Mifflin known for his deadpan humor and apathy toward office antics in the U.S. version of The Office.
  • C. Stanley Blystone
    Stanley Blystone was an American character actor best known for his numerous supporting roles in classic Hollywood films and comedy shorts, including many appearances with The Three Stooges.
  • D. Stanley West
    Stanley West was a British archaeologist best known for his pioneering excavations and research at the West Stow Anglo-Saxon settlement in Suffolk.
  • E. Murray Burnett
    Murray Burnett was an American playwright best known for co-writing the stage play that inspired the classic film "Casablanca."
  • 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_69d886d5f34c8190b24564dfaa63f3fb completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42d934ec08190acc47073758ac3c0 completed April 19, 2026, 1:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a014847a19481909b1249c2fe428bfc completed May 11, 2026, 3:08 a.m.
Created at: April 10, 2026, 5:37 a.m.