Triple

T19452767
Position Surface form Disambiguated ID Type / Status
Subject Kerman E486653 entity
Predicate hasNotableBearer P458 FINISHED
Object Joseph Kerman 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: Joseph Kerman | Statement: [Kerman, hasNotableBearer, Joseph Kerman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joseph Kerman
Context triple: [Kerman, hasNotableBearer, Joseph Kerman]
  • A. Frank Damrosch
    Frank Damrosch was a German-born American conductor and music educator who played a key role in shaping formal music training in the United States in the late 19th and early 20th centuries.
  • B. Donald Tovey
    Donald Tovey was a British musicologist, pianist, composer, and influential analyst of classical music, renowned for his insightful essays and editions of canonical works.
  • C. Fred Lerdahl
    Fred Lerdahl is an American composer and music theorist known for his influential work on the cognitive foundations of tonal music and musical structure.
  • D. Charles Rosen chosen
    Charles Rosen was an American pianist and musicologist renowned for his insightful writings on classical music and composers such as Beethoven and Schubert.
  • E. Charles Rosen
    Charles Rosen was a film art director known for his work on notable movies including the 1974 comedy "Uptown Saturday Night."
  • 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_69d8e8d86d608190bd199a98d0297f27 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6339407a08190a3e0213bfbb4df3d completed April 20, 2026, 2:09 p.m.
Created at: April 10, 2026, 1:38 p.m.