Triple

T14527273
Position Surface form Disambiguated ID Type / Status
Subject Once Upon a Dream E340810 entity
Predicate musicAdaptedBy P69369 FINISHED
Object George Bruns E375495 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: George Bruns | Statement: [Once Upon a Dream, musicAdaptedBy, George Bruns]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Bruns
Context triple: [Once Upon a Dream, musicAdaptedBy, George Bruns]
  • A. George Bruns chosen
    George Bruns was an American composer and arranger best known for his work on numerous Disney films and theme park attractions, including iconic scores for animated classics and rides.
  • B. Louis Butz
    Louis Butz is an individual notable enough to be recognized as a prominent bearer of the surname Butz.
  • C. Charles Bohl
    Charles Bohl is a screenwriter best known for his work on the 2002 psychological thriller film "Swimfan."
  • D. George Boemler
    George Boemler was a film editor known for his work on classic Hollywood productions, including the musical comedy "High Society."
  • E. George Lewis Heins
    George Lewis Heins was an American architect best known as a co-founder of the influential architectural firm Heins & LaFarge, which designed notable public and ecclesiastical buildings in the late 19th and early 20th centuries.
  • 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_69d822dac79c8190a84a073f3cbaced5 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dea050781881909ed685d94479bf99 completed April 14, 2026, 8:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b272ea6c8190b22fd78081446701 completed May 10, 2026, 4:29 p.m.
Created at: April 10, 2026, 1:22 a.m.