Triple

T19915836
Position Surface form Disambiguated ID Type / Status
Subject Harmonium E478661 entity
Predicate premiereConductor P4736 FINISHED
Object Edo de Waart 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: Edo de Waart | Statement: [Harmonium, premiereConductor, Edo de Waart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edo de Waart
Context triple: [Harmonium, premiereConductor, Edo de Waart]
  • A. Edo de Waart chosen
    Edo de Waart is a renowned Dutch conductor known for leading major orchestras around the world and for his influential interpretations of symphonic and operatic repertoire.
  • B. Willem van der Vliet
    Willem van der Vliet was a Dutch Golden Age painter from Delft, known for his portraits and history paintings and as an early mentor to his nephew Hendrick Cornelisz. van Vliet.
  • C. Cees van den Bos
    Cees van den Bos is a Dutch local politician who serves as the mayor of the municipality of Hellendoorn in the Netherlands.
  • D. Jan van Bijlert
    Jan van Bijlert was a Dutch Golden Age painter associated with the Utrecht Caravaggisti, known for his religious, genre, and portrait works influenced by Caravaggio’s dramatic use of light and shadow.
  • E. Willem Drost
    Willem Drost was a Dutch Golden Age painter and etcher known for his Rembrandt-influenced biblical and historical scenes.
  • 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_69d8e521855c8190b41871700afc8d6a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65994f4608190b79771ddea1040f5 completed April 20, 2026, 4:51 p.m.
Created at: April 10, 2026, 1:53 p.m.