Triple

T4032119
Position Surface form Disambiguated ID Type / Status
Subject Jesus College Oxford MS 29 E83738 entity
Predicate genreOfContents P37316 FINISHED
Object Middle English poetry 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: Middle English poetry | Statement: [Jesus College Oxford MS 29, genreOfContents, Middle English poetry]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: genreOfContents
Context triple: [Jesus College Oxford MS 29, genreOfContents, Middle English poetry]
  • A. genreWithin
    Indicates that one genre is a subgenre or more specific category contained within another, broader genre.
  • B. genreOfCollection chosen
    Indicates that a specified genre categorizes or characterizes a particular collection.
  • C. genre
    Indicates the artistic or thematic category to which a work (such as a book, film, or song) belongs.
  • D. genreFeatures
    Indicates that a particular genre is characterized or defined by certain features or attributes.
  • E. genreOfAppearance
    Indicates the genre or type of creative work in which an entity appears.
  • 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_69aed92e29ac819080f7a98b594fec05 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb0f776881909db6b7df1db7664c completed March 9, 2026, 4:53 p.m.
PD Predicate disambiguation batch_69aef8fe440c819093a7fa22c4ff3f1a completed March 9, 2026, 4:44 p.m.
Created at: March 9, 2026, 3:36 p.m.