Triple

T13608971
Position Surface form Disambiguated ID Type / Status
Subject Where Everybody Knows Your Name E325136 entity
Predicate hasTelevisionVersion P110401 FINISHED
Object shortened opening credits version 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: shortened opening credits version | Statement: [Where Everybody Knows Your Name, hasTelevisionVersion, shortened opening credits version]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTelevisionVersion
Context triple: [Where Everybody Knows Your Name, hasTelevisionVersion, shortened opening credits version]
  • A. isTelevised
    Indicates that an event, program, or activity is broadcast on television for public viewing.
  • B. hasTelevisionAdaptationBroadcaster
    Indicates that the broadcaster specified is responsible for airing the television adaptation of the subject work or entity.
  • C. televisionFilmAdaptation
    Indicates that a television film is an adaptation of another work, such as a book, play, or earlier production.
  • D. isTelevisionAdaptationOf
    Indicates that a television show is an adaptation derived from the story, characters, or content of another original work.
  • E. hasFilmVersionStatus
    Indicates whether and how a work has been adapted into a film, specifying the status of that film version.
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbbb9ee3f081909056dc1a92c40b7a completed April 12, 2026, 3:34 p.m.
PD Predicate disambiguation batch_69dbae1b3ee481909bd43ded6227a3e5 completed April 12, 2026, 2:37 p.m.
PDg Predicate description generation batch_69dbbb8c77dc8190b7bd803b5e168d23 completed April 12, 2026, 3:34 p.m.
Created at: April 9, 2026, 9:50 p.m.