Triple

T15619011
Position Surface form Disambiguated ID Type / Status
Subject George Bruns E375495 entity
Predicate name P16 FINISHED
Object George Bruns 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: George Bruns | Statement: [George Bruns, name, George Bruns]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Bruns
Context triple: [George Bruns, name, 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 (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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e997ce481909b2f10d25705fbc6 completed April 16, 2026, 2:51 a.m.
Created at: April 10, 2026, 4:13 a.m.