Triple

T11047939
Position Surface form Disambiguated ID Type / Status
Subject Black Speech E261177 entity
Predicate translationOfNotablePhrase P52481 FINISHED
Object One Ring to rule them all, One Ring to find them 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: One Ring to rule them all, One Ring to find them | Statement: [Black Speech, translationOfNotablePhrase, One Ring to rule them all, One Ring to find them]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: translationOfNotablePhrase
Context triple: [Black Speech, translationOfNotablePhrase, One Ring to rule them all, One Ring to find them]
  • A. notableQuoteTranslation
    Indicates that one quote is a translation of another quote, preserving its meaning across different languages.
  • B. translationOn chosen
    Indicates that one entity is a translation of another entity, typically expressing the same content in a different language or linguistic form.
  • C. translatedWorkOf
    Indicates that one work is a translation of another original work.
  • D. translationOfMotto
    Indicates that one motto is a translation of another motto in a different language.
  • E. translationProperty
    Indicates a relationship where one entity serves as a translated counterpart or translation-specific attribute 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_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d798315b988190bc565581b2664009 completed April 9, 2026, 12:14 p.m.
PD Predicate disambiguation batch_69d74407cb088190ba37c8da3d342b64 completed April 9, 2026, 6:15 a.m.
Created at: April 8, 2026, 9:26 p.m.