Triple

T10523475
Position Surface form Disambiguated ID Type / Status
Subject Hélène Grimaud E248233 entity
Predicate familyName P18 FINISHED
Object Grimaud E676242 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: Grimaud | Statement: [Hélène Grimaud, familyName, Grimaud]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grimaud
Context triple: [Hélène Grimaud, familyName, Grimaud]
  • A. Grimaud chosen
    Grimaud is a historic hilltop village in southeastern France’s Var department, overlooking the Gulf of Saint-Tropez and known for its medieval castle and picturesque Provençal charm.
  • B. Grimaud
    Grimaud is a taciturn and fiercely loyal servant of Athos in Alexandre Dumas’ d’Artagnan Romances, notably appearing in the novel "Twenty Years After" and its adaptations such as "Soldiers of Fortune."
  • C. Vauvert
    Vauvert is a commune in southern France known for its location in the Gard department near the Camargue region.
  • D. Gaume
    Gaume is a culturally distinct region in southern Belgium known for its milder microclimate, French-speaking population, and characteristic rural landscapes.
  • E. Courcier
    Courcier was a French publishing house known for issuing important mathematical and scientific works in the early 19th century.
  • 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_69d381c5c7448190bec34bee7ec72bac completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509e155b08190996325bf484ec55d completed April 7, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90e1c73208190aa3d3e30aa4482ac completed April 10, 2026, 2:50 p.m.
Created at: April 6, 2026, 12:29 p.m.