Triple

T38601301
Position Surface form Disambiguated ID Type / Status
Subject Amadeus E934220 entity
Predicate hasMusicEditor P198512 FINISHED
Object John Strauss 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: John Strauss | Statement: [Amadeus, hasMusicEditor, John Strauss]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMusicEditor
Context triple: [Amadeus, hasMusicEditor, John Strauss]
  • A. hasMusicUnit
    Indicates that one entity includes, is associated with, or is organized into a specific musical unit (such as a band, ensemble, or musical subgroup).
  • B. hasMusicalSettingsBy
    Indicates that a work has been set to music or musically arranged by a specified creator or composer.
  • C. hasMusical
    Indicates that one entity features, includes, or is associated with a musical work, performance, or musical component.
  • D. hasMusicPeriod
    Indicates that something (such as a musical work, style, or composer) is associated with a specific historical music period or era.
  • E. hasMusicCharacteristic
    Indicates that an entity possesses a specific musical feature, quality, or attribute.
  • F. None of above. chosen

Provenance (4 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_69f76ecc17688190b389b693a5927501 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69feecf1bb248190ba30f0bb1d22ee08 completed May 9, 2026, 8:14 a.m.
PD Predicate disambiguation batch_69feea5f27748190b223ee4e3ba5a678 completed May 9, 2026, 8:03 a.m.
PDg Predicate description generation batch_69feecf102e08190b237c29e45beeca0 completed May 9, 2026, 8:14 a.m.
Created at: May 3, 2026, 4:32 p.m.