Triple

T33805599
Position Surface form Disambiguated ID Type / Status
Subject Michael Frayn bibliography E866377 entity
Predicate includesNotablePlay P9490 FINISHED
Object Noises Off E246810 NE 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: Noises Off | Statement: [Michael Frayn bibliography, includesNotablePlay, Noises Off]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: includesNotablePlay
Context triple: [Michael Frayn bibliography, includesNotablePlay, Noises Off]
  • A. notablePlay chosen
    Indicates that a particular play is especially famous, significant, or noteworthy in relation to the entity it is associated with.
  • B. notablePlayType
    Indicates that a particular type or category of play is especially significant or characteristic for the subject.
  • C. notablePlayQuarter
    Indicates that a particular play or action in a game is considered especially significant or noteworthy within a specific quarter.
  • D. notablePlayPlayer
    Indicates that a player is notably associated with a particular play, such as by making a significant or memorable contribution in it.
  • E. notableMatch
    Indicates that there exists a particularly significant or noteworthy match or pairing between the related entities.
  • F. None of above.

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_6a0357f9670081908a7ba1cd46a0b46a completed May 12, 2026, 4:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a36d5c75ebc81909855e0b33e1939c6 completed June 20, 2026, 6:02 p.m.
PD Predicate disambiguation batch_6a03575e3258819093303248d1569f95 completed May 12, 2026, 4:37 p.m.
Created at: May 1, 2026, 1:46 a.m.