Triple

T36322743
Position Surface form Disambiguated ID Type / Status
Subject Noughts + Crosses E894378 entity
Predicate isAdaptationOfFranchise P45612 FINISHED
Object Noughts & Crosses franchise 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: Noughts & Crosses franchise | Statement: [Noughts + Crosses, isAdaptationOfFranchise, Noughts & Crosses franchise]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isAdaptationOfFranchise
Context triple: [Noughts + Crosses, isAdaptationOfFranchise, Noughts & Crosses franchise]
  • A. isUnofficialAdaptationOf
    Indicates that one work is an adaptation of another without being formally authorized, licensed, or officially recognized as such.
  • B. hasFranchiseOrSpinOff chosen
    Indicates that one work, series, or product is related to another as a franchise entry or a spin-off derived from it.
  • C. originalFranchiseOf
    Indicates that one entity is the source or originating franchise from which another franchise, adaptation, or derivative work is based or derived.
  • D. intendedFranchise
    Indicates that one entity is planned or designated to become part of, or operate under, the franchise of another entity.
  • E. isTelevisionAdaptationOf
    Indicates that a television show is an adaptation derived from the story, characters, or content of another original work.
  • 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_69f76e4d1a788190a6ab6ccca28547a7 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7ba6d06f48190a71b5a2f19e2232f completed May 3, 2026, 9:13 p.m.
PD Predicate disambiguation batch_69f7b9a4aad48190a62e41c5e39339d9 completed May 3, 2026, 9:09 p.m.
Created at: May 3, 2026, 4:09 p.m.