Triple

T26290929
Position Surface form Disambiguated ID Type / Status
Subject Support Your Local Gunfighter E661267 entity
Predicate isNotSequelTo P161275 FINISHED
Object Support Your Local Sheriff! 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: Support Your Local Sheriff! | Statement: [Support Your Local Gunfighter, isNotSequelTo, Support Your Local Sheriff!]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isNotSequelTo
Context triple: [Support Your Local Gunfighter, isNotSequelTo, Support Your Local Sheriff!]
  • A. hasNoDirectSequels
    Indicates that the subject work has no subsequent works that continue its story directly as sequels.
  • B. isNotRemakeOf
    Indicates that one work is explicitly not a remake or new version of another existing work.
  • C. isPrequelTo
    Indicates that one work or event occurs earlier in time and narratively sets up or leads into another work or event.
  • D. prequelOrSequelTo
    Indicates that one work in a narrative series occurs earlier or later in the storyline or release order relative to another work, as its prequel or sequel.
  • E. hasSequel
    Indicates that one work is followed by another work that continues its story, timeline, or thematic development.
  • 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_69ee812bbd448190be4d7478b057990a completed April 26, 2026, 9:18 p.m.
NER Named-entity recognition batch_69f6135293908190809e255bf6334760 completed May 2, 2026, 3:08 p.m.
PD Predicate disambiguation batch_69f611a9272881909093360472be832c completed May 2, 2026, 3 p.m.
PDg Predicate description generation batch_69f6125e54e0819088ee33a20efcc9e6 completed May 2, 2026, 3:03 p.m.
Created at: April 26, 2026, 10:08 p.m.