Triple

T36888146
Position Surface form Disambiguated ID Type / Status
Subject Sentenza E911666 entity
Predicate hasMusicThemeBy P7259 FINISHED
Object Ennio Morricone 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: Ennio Morricone | Statement: [Sentenza, hasMusicThemeBy, Ennio Morricone]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMusicThemeBy
Context triple: [Sentenza, hasMusicThemeBy, Ennio Morricone]
  • A. hasThemeSong chosen
    Indicates that an entity is associated with or characterized by a particular theme song.
  • B. hasHeroicTheme
    Indicates that something (such as a work, scene, or motif) embodies or prominently features a heroic theme or quality.
  • C. hasSoundtrackCharacteristic
    Indicates that a soundtrack possesses a specified quality, feature, or attribute.
  • D. hasMusical
    Indicates that one entity features, includes, or is associated with a musical work, performance, or musical component.
  • E. hasMainTitleSequenceMusicBy
    Indicates that a work’s main title sequence music is composed or performed by a specified person or entity.
  • F. None of above.

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_69f76e8335908190b77e7e11d0e80820 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fe91383a1c81909266e40c3c3ede6c completed May 9, 2026, 1:43 a.m.
PD Predicate disambiguation batch_69fe8fde094081908f0f121664fbb5c7 completed May 9, 2026, 1:37 a.m.
Created at: May 3, 2026, 4:13 p.m.