Triple

T12125980
Position Surface form Disambiguated ID Type / Status
Subject Almanzo Wilder E288810 entity
Predicate languageOfAssociatedWork P4185 FINISHED
Object English 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: English | Statement: [Almanzo Wilder, languageOfAssociatedWork, English]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: languageOfAssociatedWork
Context triple: [Almanzo Wilder, languageOfAssociatedWork, English]
  • A. languageOfParentWork
    Indicates that the specified language is the language in which the parent (original or containing) work is expressed.
  • B. languageOfUnderlyingWork
    Indicates the language in which the original or underlying work (from which a derived or related work stems) is expressed.
  • C. languageOfWritings
    Indicates that a specified language is the one in which certain writings or written works are composed.
  • D. isLanguageOf chosen
    Indicates that a particular language is used as the official or primary language associated with a given entity (such as a person, document, or region).
  • E. originalLanguageOfWholeWork
    Indicates that a given language is the primary or original language in which an entire work (such as a book, film, or other complete creation) was first produced or expressed.
  • 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_69d6ab4b5e4c81909950b17151eb0951 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d91841615c819097f20a7447a1b8f4 completed April 10, 2026, 3:33 p.m.
PD Predicate disambiguation batch_69d91508f8008190b3a90ec0bf0953ca completed April 10, 2026, 3:19 p.m.
Created at: April 8, 2026, 9:49 p.m.