Triple

T15296261
Position Surface form Disambiguated ID Type / Status
Subject Chicken Run (film score, co-composed) E365664 entity
Predicate supportsToneOf P49759 FINISHED
Object escape-caper narrative LITERAL 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: escape-caper narrative | Statement: [Chicken Run (film score, co-composed), supportsToneOf, escape-caper narrative]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsToneOf
Context triple: [Chicken Run (film score, co-composed), supportsToneOf, escape-caper narrative]
  • A. contributesToTone chosen
    Indicates that one entity plays a role in shaping, influencing, or determining the overall tone or mood of another entity.
  • B. supportsRingtones
    Indicates that one entity provides the capability for another entity to use or play ringtones.
  • C. supportsPCM
    Indicates that one entity is capable of handling, processing, or is compatible with PCM (Pulse-Code Modulation) audio data used by another entity.
  • D. hasPhonemicTone
    Indicates that a language, word, or syllable uses pitch differences (tones) as phonemic contrasts that can change meaning.
  • E. supportedIn
    Indicates that one entity is valid, applicable, or functionally enabled within the context, environment, platform, or scope defined by another 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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e036848c1881908fbaaae0216d6d27 completed April 16, 2026, 1:08 a.m.
PD Predicate disambiguation batch_69deca935e2c8190b640987ddfc542b9 completed April 14, 2026, 11:15 p.m.
Created at: April 10, 2026, 3:15 a.m.