Triple

T31657692
Position Surface form Disambiguated ID Type / Status
Subject Low Shoulder E807900 entity
Predicate diegeticMusic P116065 FINISHED
Object Through the Trees 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: Through the Trees | Statement: [Low Shoulder, diegeticMusic, Through the Trees]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: diegeticMusic
Context triple: [Low Shoulder, diegeticMusic, Through the Trees]
  • A. diegeticStatus
    Indicates the relationship between an element and the narrative world, specifying whether it exists within the story’s reality (perceivable by characters) or outside it (only for the audience).
  • B. diegeticPerformer
    Indicates that an entity performs within the narrative world itself, as a character or in-story performer, rather than as an external or non-diegetic contributor.
  • C. hasDiegeticUse chosen
    Indicates that something is used or occurs within the narrative world itself, as experienced by the characters (i.e., it is diegetic).
  • D. featuresInstrumentalDialogue
    Indicates that the situation or work includes dialogue that serves an instrumental or functional purpose, such as advancing a task, plan, or procedure.
  • E. diegeticStatusLater
    Indicates that an element’s diegetic status (whether it exists within the story world) changes or is evaluated at a later point in the narrative timeline.
  • 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_69f348daf95c81908b4c985b7ddcd0b3 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6a9603b208190b3533ea2b441514c completed May 3, 2026, 1:48 a.m.
PD Predicate disambiguation batch_69f6a757c6e081908e37631e5d8d246b completed May 3, 2026, 1:39 a.m.
Created at: April 30, 2026, 10:56 p.m.