Triple

T16676366
Position Surface form Disambiguated ID Type / Status
Subject Horses E405223 entity
Predicate featuresMusician P20942 FINISHED
Object Richard Sohl E958869 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: Richard Sohl | Statement: [Horses, featuresMusician, Richard Sohl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richard Sohl
Context triple: [Horses, featuresMusician, Richard Sohl]
  • A. Richard Sohl chosen
    Richard Sohl was an American pianist and keyboardist best known for his work with the Patti Smith Group and other influential punk and rock acts of the 1970s and 1980s.
  • B. Richard Seifert
    Richard Seifert was a prominent 20th-century British architect known for his influential and often controversial modernist high-rise buildings across London.
  • C. Mark Kohr
    Mark Kohr is an American music video director known for his work with prominent alternative rock bands in the 1990s.
  • D. Richard Schayer
    Richard Schayer was an American screenwriter prominent during the silent and early sound eras of Hollywood, contributing to numerous films across various genres.
  • E. Richard Plepler
    Richard Plepler is an American media executive best known for his tenure as CEO of HBO, where he oversaw the development of numerous acclaimed television series.
  • 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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37d6b69cc8190b19632e1b4293569 completed April 18, 2026, 12:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c29693dc819096993d8ba0fb3d71 completed May 10, 2026, 5:38 p.m.
Created at: April 10, 2026, 5:19 a.m.