Triple

T19358259
Position Surface form Disambiguated ID Type / Status
Subject Hephzibah Menuhin E484206 entity
Predicate familyName P18 FINISHED
Object Menuhin 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: Menuhin | Statement: [Hephzibah Menuhin, familyName, Menuhin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Menuhin
Context triple: [Hephzibah Menuhin, familyName, Menuhin]
  • A. Menuhin chosen
    Menuhin is a surname most famously associated with Yehudi Menuhin, the renowned 20th-century violinist and conductor.
  • B. Man’en
    Man’en was a short Japanese era of the late Edo period that followed Ansei and preceded Bunkyū during the reign of Emperor Kōmei.
  • C. Mehunaise
    Mehunaise is the French demonym for a female inhabitant of the town of Mehun-sur-Yèvre in central France.
  • D. Menou
    Menou is a French surname most notably associated with Jacques-François Menou, a general and administrator during the French Revolutionary and Napoleonic eras.
  • E. Mezzetin
    Mezzetin is a painting by Antoine Watteau depicting a melancholic commedia dell’arte musician in a theatrical, romantic setting.
  • 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_69d8e8d305088190ad13571532aa454c completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e6190a1ec88190ba6d2d45174dc85a completed April 20, 2026, 12:16 p.m.
Created at: April 10, 2026, 1:34 p.m.