Triple

T28426645
Position Surface form Disambiguated ID Type / Status
Subject Alice Nutting E720097 entity
Predicate diegeticContext P111665 FINISHED
Object performer in the Music Hall Royale company 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: performer in the Music Hall Royale company | Statement: [Alice Nutting, diegeticContext, performer in the Music Hall Royale company]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: diegeticContext
Context triple: [Alice Nutting, diegeticContext, performer in the Music Hall Royale company]
  • 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 chosen
    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
    Indicates that something is used or occurs within the narrative world itself, as experienced by the characters (i.e., it is diegetic).
  • D. 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.
  • E. dialogueContext
    Indicates the situational and conversational background in which a dialogue occurs, including prior exchanges and relevant circumstances that shape its interpretation.
  • 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_69eff6f1c5088190bc24bfbf92f9c017 completed April 27, 2026, 11:53 p.m.
NER Named-entity recognition batch_69f64e37f7fc819083809149b6661e3c completed May 2, 2026, 7:19 p.m.
PD Predicate disambiguation batch_69f64caede108190a35cc7cbfead866f completed May 2, 2026, 7:12 p.m.
Created at: April 28, 2026, 1:37 a.m.