Triple

T28298912
Position Surface form Disambiguated ID Type / Status
Subject Nella Fantasia E713649 entity
Predicate derivesFromFilmScore P57302 FINISHED
Object The Mission 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: The Mission | Statement: [Nella Fantasia, derivesFromFilmScore, The Mission]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: derivesFromFilmScore
Context triple: [Nella Fantasia, derivesFromFilmScore, The Mission]
  • A. hasFilmScoreBy
    Indicates that a film’s musical score was composed or created by a specified person or entity.
  • B. hasFilmScore chosen
    Indicates that one entity serves as the musical score or soundtrack composed for a particular film.
  • C. hasFilmScoreStyle
    Indicates a relationship where a film is associated with a particular style or type of musical score used in it.
  • D. scoredBySameComposerAsFilm
    Indicates that the work is scored by a composer who also composed the score for the referenced film.
  • E. inheritedByInFilm
    Indicates that a character, role, or attribute is passed on or taken over by another character within the narrative of a film.
  • 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_69efb524ab688190a1ce7ee7c9520932 completed April 27, 2026, 7:12 p.m.
NER Named-entity recognition batch_69f67257b0448190a13011af81c81449 completed May 2, 2026, 9:53 p.m.
PD Predicate disambiguation batch_69f66ec3d3d48190ab2f2b71939e572e completed May 2, 2026, 9:38 p.m.
Created at: April 27, 2026, 11:34 p.m.