Triple

T33805622
Position Surface form Disambiguated ID Type / Status
Subject Michael Frayn bibliography E866377 entity
Predicate includesNotableTranslation P100709 FINISHED
Object The Cherry Orchard E121173 NE 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: The Cherry Orchard | Statement: [Michael Frayn bibliography, includesNotableTranslation, The Cherry Orchard]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: includesNotableTranslation
Context triple: [Michael Frayn bibliography, includesNotableTranslation, The Cherry Orchard]
  • A. hasTranslationNote
    Indicates that there is an explanatory note about how something has been translated, such as clarifying wording choices, alternatives, or translation issues.
  • B. hasTranslation
    Indicates that one entity is a translation or translated version of another entity in a different language.
  • C. hasInfluentialTranslation chosen
    Indicates that an entity has a translation which has significantly shaped, spread, or impacted the understanding or reception of the original work.
  • D. hasTranslationEquivalent
    Indicates that one expression in a given language corresponds in meaning to another expression in a different language.
  • E. includesTranslatedWorks
    Indicates that one entity contains or encompasses works that have been translated from their original language.
  • F. None of above.

Provenance (4 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_69f3499057fc81909d862b1309a3bd71 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_6a035b78140081908e451cb63d3c1c7c completed May 12, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a36659b34c4819086e66a399e0fe25b completed June 20, 2026, 10:04 a.m.
PD Predicate disambiguation batch_6a035af3d8f48190bf1f3741d374404e completed May 12, 2026, 4:53 p.m.
Created at: May 1, 2026, 1:46 a.m.