Triple

T30228500
Position Surface form Disambiguated ID Type / Status
Subject Studio Grangel E768559 entity
Predicate basedOnFranchiseWork P102294 FINISHED
Object Star Wars 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: Star Wars | Statement: [Studio Grangel, basedOnFranchiseWork, Star Wars]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: basedOnFranchiseWork
Context triple: [Studio Grangel, basedOnFranchiseWork, Star Wars]
  • A. basedOnShowFranchise chosen
    Indicates that one entity is derived from, adapted from, or otherwise created based on the concept, content, or brand of a particular show franchise.
  • B. formedByFranchise
    Indicates that something (such as a team, organization, or unit) was created or established as a result of a franchise agreement or franchising process.
  • C. createdForFranchise
    Indicates that something was created specifically to belong to, support, or be used within a particular franchise.
  • D. originalFranchiseOf
    Indicates that one entity is the source or originating franchise from which another franchise, adaptation, or derivative work is based or derived.
  • E. intendedFranchise
    Indicates that one entity is planned or designated to become part of, or operate under, the franchise of another entity.
  • 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_69f2248108208190be60bf1af343ce70 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69fd6dbd1b648190b1a0b391c03aebc5 completed May 8, 2026, 4:59 a.m.
PD Predicate disambiguation batch_69fd6a9020548190bbfa845360ac85fb completed May 8, 2026, 4:46 a.m.
Created at: April 29, 2026, 7:36 p.m.