Triple

T29202896
Position Surface form Disambiguated ID Type / Status
Subject Tolkien E740326 entity
Predicate hasNotableFictionalUse P191964 FINISHED
Object brand and franchise name in Tolkien-related media 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: brand and franchise name in Tolkien-related media | Statement: [Tolkien, hasNotableFictionalUse, brand and franchise name in Tolkien-related media]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNotableFictionalUse
Context triple: [Tolkien, hasNotableFictionalUse, brand and franchise name in Tolkien-related media]
  • A. usedInFictionalWork
    Indicates that something (such as a concept, object, or character) appears or is employed within a specific fictional work.
  • B. hasNotableFictionalBearer
    Indicates that an entity is associated with at least one well-known fictional character that bears its name or designation.
  • C. hasFictionalDepictions chosen
    Indicates that an entity is represented or portrayed in one or more fictional works or narratives.
  • D. hasFictionalCulturalContext
    Indicates that something is associated with or situated within a fictional cultural setting, tradition, or milieu rather than a real-world culture.
  • E. hasFictionalPurpose
    Indicates that something exists or is used primarily within a fictional context or narrative rather than for real-world practical purposes.
  • 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_69f07cb974108190b7e86ca489a6ebb6 completed April 28, 2026, 9:24 a.m.
NER Named-entity recognition batch_69ff8aff48988190a48a440de8238ef9 completed May 9, 2026, 7:29 p.m.
PD Predicate disambiguation batch_69ff8a780404819082f48ceb21e7fe11 completed May 9, 2026, 7:26 p.m.
Created at: April 28, 2026, 12:07 p.m.