Triple

T38678992
Position Surface form Disambiguated ID Type / Status
Subject Man in Chair E943835 entity
Predicate favoriteShowWithinShow P57669 FINISHED
Object The Drowsy Chaperone (fictional 1920s musical within the musical) 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: The Drowsy Chaperone (fictional 1920s musical within the musical) | Statement: [Man in Chair, favoriteShowWithinShow, The Drowsy Chaperone (fictional 1920s musical within the musical)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: favoriteShowWithinShow
Context triple: [Man in Chair, favoriteShowWithinShow, The Drowsy Chaperone (fictional 1920s musical within the musical)]
  • A. hasFictionalShowWithinShow chosen
    Indicates that one show contains or features another fictional show within its narrative.
  • B. associatedShow
    Indicates a relationship where one entity is linked or connected to a particular show (e.g., as its subject, source, or related program).
  • C. notableShowWithinShow
    Indicates that one show prominently features or contains another show within its narrative or structure.
  • D. settingWithinShow
    Indicates that one setting (such as a location or environment) exists as part of, or is contained within, a particular show.
  • E. sisterShow
    Indicates that two shows are related as sister shows, typically sharing common origins, networks, or production ties without one being derived from the other.
  • 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_69f76eec28708190b9c82a505fc278e0 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fcdfbc71c481908ba7f87907b17782 completed May 7, 2026, 6:53 p.m.
PD Predicate disambiguation batch_69fcdbe580b8819087f143596b2c79c0 completed May 7, 2026, 6:37 p.m.
Created at: May 3, 2026, 4:33 p.m.