Triple

T9397896
Position Surface form Disambiguated ID Type / Status
Subject Carl Flesch E226391 entity
Predicate student P7251 FINISHED
Object Ida Haendel E797164 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: Ida Haendel | Statement: [Carl Flesch, student, Ida Haendel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ida Haendel
Context triple: [Carl Flesch, student, Ida Haendel]
  • A. Ida Haendel chosen
    Ida Haendel was a renowned Polish-British violinist celebrated for her prodigious talent, long international career, and deeply expressive interpretations of the classical repertoire.
  • B. Ida Ehre
    Ida Ehre was a prominent German actress and influential theater director, best known for her postwar leadership of the Hamburger Kammerspiele and her contributions to rebuilding German cultural life after World War II.
  • C. Ida Selkmann
    Ida Selkmann was the wife of German General Erich von Falkenhayn, a prominent military leader during World War I.
  • D. Ida Amalia Kaufmann
    Ida Amalia Kaufmann was the wife of German mathematician Max Noether, known primarily through her connection to his life and family.
  • E. Ida Vitale
    Ida Vitale is a renowned Uruguayan poet, critic, and translator associated with the Generation of ’45, celebrated for her refined, intellectually rich verse and major contributions to Spanish-language literature.
  • 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_69ca843170f88190800a8ab2b5fc568e completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd51541020819097da2eb60be73760 completed April 1, 2026, 5:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69d110214f088190a972c8534b613873 completed April 4, 2026, 1:20 p.m.
Created at: March 30, 2026, 7:46 p.m.