Triple

T28758796
Position Surface form Disambiguated ID Type / Status
Subject Clara Brereton E731747 entity
Predicate literaryPeriodOfWorkSheAppearsIn P56599 FINISHED
Object 19th-century English literature 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: 19th-century English literature | Statement: [Clara Brereton, literaryPeriodOfWorkSheAppearsIn, 19th-century English literature]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: literaryPeriodOfWorkSheAppearsIn
Context triple: [Clara Brereton, literaryPeriodOfWorkSheAppearsIn, 19th-century English literature]
  • A. literaryPeriodOfWork chosen
    Indicates the literary period or movement to which a particular work belongs.
  • B. attestedInWorksOf
    Indicates that something (such as a claim, form, or usage) is documented or evidenced within the works produced by a particular author or creator.
  • C. literaryWorkSetInRegion
    Indicates that a literary work’s narrative or events primarily take place within a specified geographic region.
  • D. literaryGenreOfWorkAppearedIn
    Indicates the literary genre of the work in which a given entity (such as a text, character, or element) appears.
  • E. authorOfWorkHeAppearsIn
    Indicates that a person is the author of a work in which he himself appears as a character or subject.
  • 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_69f043ed68a881909e858a06bab7a247 completed April 28, 2026, 5:21 a.m.
NER Named-entity recognition batch_69f6afebd7ec8190ab696f363d84abf0 completed May 3, 2026, 2:16 a.m.
PD Predicate disambiguation batch_69f6aca204148190850a3dc325bc07b7 completed May 3, 2026, 2:02 a.m.
Created at: April 28, 2026, 6:10 a.m.