Triple

T26752389
Position Surface form Disambiguated ID Type / Status
Subject Wensleydale cheese train E674574 entity
Predicate basedOnFictionalWork P92229 FINISHED
Object Wallace & Gromit film series 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: Wallace & Gromit film series | Statement: [Wensleydale cheese train, basedOnFictionalWork, Wallace & Gromit film series]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: basedOnFictionalWork
Context triple: [Wensleydale cheese train, basedOnFictionalWork, Wallace & Gromit film series]
  • A. basedOnInFiction chosen
    Indicates that a fictional work, character, or element is derived from, inspired by, or modeled after another real or fictional source.
  • B. basedOnCharacterFromWork
    Indicates that one entity is derived from, inspired by, or modeled after a character that appears in another creative work.
  • C. usedInFictionalWork
    Indicates that something (such as a concept, object, or character) appears or is employed within a specific fictional work.
  • D. builtOnTopOfInFiction
    Indicates that, within a fictional context, one work, setting, or construct is created by reusing, layering on, or structurally depending upon another preexisting fictional work, setting, or construct.
  • E. worksInFictionalContext
    Indicates that an entity performs work or fulfills a role within a fictional or imagined setting rather than in real-world circumstances.
  • 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_69eecda6e9dc81908452fab3ba17ed9b completed April 27, 2026, 2:44 a.m.
NER Named-entity recognition batch_69f707f7959881908f037f0d6b1d0c36 completed May 3, 2026, 8:31 a.m.
PD Predicate disambiguation batch_69f700fc274c8190a128593dc7c7abd0 completed May 3, 2026, 8:02 a.m.
Created at: April 27, 2026, 3:54 a.m.