Triple

T34981239
Position Surface form Disambiguated ID Type / Status
Subject The Hollywood Television Showcase E1008819 entity
Predicate associatedWithFictionalIndustry P61294 FINISHED
Object American music industry 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: American music industry | Statement: [The Hollywood Television Showcase, associatedWithFictionalIndustry, American music industry]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedWithFictionalIndustry
Context triple: [The Hollywood Television Showcase, associatedWithFictionalIndustry, American music industry]
  • A. associatedWithFictionalGroup
    Indicates that an entity has a connection or affiliation with a fictional group, organization, or collective.
  • B. fictionalIndustry chosen
    Indicates that an entity operates within an industry or sector that exists only in fiction rather than in the real world.
  • C. associatedWithFictionalEvent
    Indicates that an entity has a connection or involvement with a fictional event, such as being based on, inspired by, or participating in that imagined occurrence.
  • D. associatedWithFictionalSetting
    Indicates that an entity has a connection or relevance to a particular fictional setting or universe.
  • E. worksWithFictionalCharacter
    Indicates that one entity collaborates or interacts in a work-related context with another entity that is a fictional character.
  • 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_69f76dc844a48190881951fffb83d17e completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_6a037c8c34f88190ace26f555827f23e completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a0379ff1ba081908eda86acefcf69fb completed May 12, 2026, 7:05 p.m.
Created at: May 3, 2026, 4:01 p.m.