Triple

T30941023
Position Surface form Disambiguated ID Type / Status
Subject Sleeping Beauty legend E788259 entity
Predicate languageOfEarlyCanonicalVersion P3926 FINISHED
Object French 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: French | Statement: [Sleeping Beauty legend, languageOfEarlyCanonicalVersion, French]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: languageOfEarlyCanonicalVersion
Context triple: [Sleeping Beauty legend, languageOfEarlyCanonicalVersion, French]
  • A. languageOfEarliestForm chosen
    Indicates the language in which the earliest known form or attested version of something (e.g., a text, name, or expression) is recorded.
  • B. primaryLanguageVersion
    Indicates that one language version of a resource is designated as the main or default version among its language variants.
  • C. languageOfEarlyServices
    Indicates the language in which early services (such as initial or preliminary sessions, programs, or interventions) are conducted.
  • D. officialLanguageVersion
    Indicates that one language variant is the officially recognized form or version used for formal or administrative purposes in relation to another language or context.
  • E. hasEarliestKnownLiteraryVersion
    Indicates that one entity is the earliest known literary version or attested written form of another entity (such as a story, motif, or tradition).
  • 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_69f224c180f88190ad177372ee02b7e2 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69ff5285ed74819097e6e2a9084a079a completed May 9, 2026, 3:28 p.m.
PD Predicate disambiguation batch_69ff51fbe28881908ac8417dff9db81a completed May 9, 2026, 3:25 p.m.
Created at: April 29, 2026, 8:53 p.m.