Triple

T14524162
Position Surface form Disambiguated ID Type / Status
Subject Would You Mind E340728 entity
Predicate hasLiveArrangementFeature P89596 FINISHED
Object audience interaction 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: audience interaction | Statement: [Would You Mind, hasLiveArrangementFeature, audience interaction]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLiveArrangementFeature
Context triple: [Would You Mind, hasLiveArrangementFeature, audience interaction]
  • A. hasLiveArrangement
    Indicates that there is an active, ongoing arrangement or agreement currently in effect between the related entities.
  • B. hasArrangement
    Indicates that one entity possesses, follows, or is organized according to a particular configuration, setup, or ordering defined by another entity.
  • C. hasArrangementFor
    Indicates that one entity has an established plan, setup, or provision in place to accommodate, support, or serve another entity or purpose.
  • D. canBeArrangedFor
    Indicates that one entity is able to be scheduled, organized, or set up on behalf of or for the benefit of another entity.
  • E. hasMusicalArrangementCharacteristic chosen
    Indicates that a musical arrangement possesses a specific characteristic, feature, or quality.
  • 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_69d822dac79c8190a84a073f3cbaced5 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dea04f16f88190ba357b0f8021b46b completed April 14, 2026, 8:15 p.m.
PD Predicate disambiguation batch_69de5c518fc08190a6ce4d8be05c4c5d completed April 14, 2026, 3:25 p.m.
Created at: April 10, 2026, 1:22 a.m.