Triple

T7141233
Position Surface form Disambiguated ID Type / Status
Subject Germaine Monteux E166445 entity
Predicate familyName P18 FINISHED
Object Monteux E166445 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: Monteux | Statement: [Germaine Monteux, familyName, Monteux]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monteux
Context triple: [Germaine Monteux, familyName, Monteux]
  • A. Germaine Monteux chosen
    Germaine Monteux was the wife of renowned French conductor Pierre Monteux and a member of the prominent Monteux musical family.
  • B. Pierre Monteux
    Pierre Monteux was a renowned French conductor celebrated for his interpretations of French and Russian repertoire and for leading several major orchestras in Europe and the United States.
  • C. Claude Monteux
    Claude Monteux was an American flutist and conductor known for his performances with major orchestras and for continuing the musical legacy of his father, conductor Pierre Monteux.
  • D. Jean-Pierre Cortot
    Jean-Pierre Cortot was a prominent 19th-century French neoclassical sculptor known for major public monuments and allegorical works in Paris.
  • E. Bruno Cremer
    Bruno Cremer was a French actor best known for his intense character roles in film and television, particularly his long-running portrayal of Inspector Maigret.
  • 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_69c6888579d481909e05a8d6b81bf733 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e778875c8190a5202d3efe5a842d completed March 27, 2026, 8:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7a34e55f481909b1aee270363fd61 completed March 28, 2026, 9:45 a.m.
Created at: March 27, 2026, 2:45 p.m.