Triple

T8449468
Position Surface form Disambiguated ID Type / Status
Subject Rosencrantz & Guildenstern Are Dead E199764 entity
Predicate musicBy P1952 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: [Rosencrantz & Guildenstern Are Dead, musicBy, Stanley Myers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stanley Myers
Context triple: [Rosencrantz & Guildenstern Are Dead, musicBy, 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. Murray Burnett
    Murray Burnett was an American playwright best known for co-writing the stage play that inspired the classic film "Casablanca."
  • D. Stanley Crawford
    Stanley Crawford is the skeptical English illusionist and main character in Woody Allen's romantic comedy film "Magic in the Moonlight."
  • E. Stanley Arthurs
    Stanley Arthurs was an American illustrator known for his historical and narrative paintings, particularly scenes of early American history, and as a prominent student of Howard Pyle.
  • 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_69ca83170f9081909cd98f55614c6476 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe44707b88190b3d8b30c45ef4496 completed March 31, 2026, 3:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1dc85e48819083340d022d0dba9b completed April 2, 2026, 7:42 a.m.
Created at: March 30, 2026, 6:09 p.m.