Triple

T33805365
Position Surface form Disambiguated ID Type / Status
Subject Nothing On E866367 entity
Predicate audiencePerspective P177724 FINISHED
Object seen only through the framing play Noises Off 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: seen only through the framing play Noises Off | Statement: [Nothing On, audiencePerspective, seen only through the framing play Noises Off]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: audiencePerspective
Context triple: [Nothing On, audiencePerspective, seen only through the framing play Noises Off]
  • A. audienceOrientation
    Indicates how something is directed, tailored, or positioned with respect to a particular audience or group of recipients.
  • B. audienceRole
    Indicates the role or function an entity has as part of an audience in relation to another entity or event.
  • C. audienceImpact
    Indicates how an action, message, or event affects, influences, or resonates with its intended audience.
  • D. audienceDescribedAs
    Indicates that an audience is characterized or labeled using a particular description or set of attributes.
  • E. audienceScale
    Indicates the relative size or reach of the audience associated with an entity, event, or communication.
  • F. None of above. chosen

Provenance (4 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_69f3499057fc81909d862b1309a3bd71 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f7009d39508190af7301f824615e88 completed May 3, 2026, 8 a.m.
PD Predicate disambiguation batch_69f6fc59518081908b0275f47721d561 completed May 3, 2026, 7:42 a.m.
PDg Predicate description generation batch_69f6ffb7554881908993d6d2ffbcf8f5 completed May 3, 2026, 7:56 a.m.
Created at: May 1, 2026, 1:46 a.m.