Triple

T2352933
Position Surface form Disambiguated ID Type / Status
Subject Community (TV series score) E47487 entity
Predicate associatedWithEpisodeType P38687 FINISHED
Object parody episodes 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: parody episodes | Statement: [Community (TV series score), associatedWithEpisodeType, parody episodes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedWithEpisodeType
Context triple: [Community (TV series score), associatedWithEpisodeType, parody episodes]
  • A. directedEpisodeOf
    Indicates that a person served as the director for a specific episode of a television or web series.
  • B. hasEpisode
    Indicates that something, typically a series or program, includes a specific episode as one of its constituent parts.
  • C. associatedUnitType
    Indicates that one entity is linked to or characterized by a particular type or category of unit.
  • D. associatedWithGenreScene
    Indicates that an entity is connected or related to a particular genre scene, such as a specific stylistic or cultural subcommunity within a broader genre.
  • E. hasEpisodeLengthType
    Indicates the type or category of duration associated with an episode (e.g., standard length, short, extended).
  • 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_69a88a1b678c8190bce986922ba60ce0 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abcb802da08190980100444010f91e completed March 7, 2026, 6:53 a.m.
PD Predicate disambiguation batch_69abc5981ce48190a3f7852d28276e11 completed March 7, 2026, 6:28 a.m.
PDg Predicate description generation batch_69abcb7ebb708190ba7edffee3c45d8b completed March 7, 2026, 6:53 a.m.
Created at: March 4, 2026, 7:54 p.m.