Triple

T35489470
Position Surface form Disambiguated ID Type / Status
Subject Maeterlinck Songs, Op. 13 E1025688 entity
Predicate usesLiterarySource P10578 FINISHED
Object works of Maurice Maeterlinck 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: works of Maurice Maeterlinck | Statement: [Maeterlinck Songs, Op. 13, usesLiterarySource, works of Maurice Maeterlinck]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesLiterarySource
Context triple: [Maeterlinck Songs, Op. 13, usesLiterarySource, works of Maurice Maeterlinck]
  • A. literarySource chosen
    Indicates that one entity serves as the written or literary origin, reference, or basis for another entity.
  • B. usesLiteraryLens
    Indicates that one entity analyzes, interprets, or evaluates another entity (such as a text or work) through a specific literary lens or critical framework.
  • C. hasLiteraryContext
    Indicates that something is associated with, situated within, or explained by a particular literary context (such as a work, genre, period, or interpretive framework).
  • D. literaryUse
    Indicates that something is employed or referenced within a literary context, such as in a written work, style, or technique.
  • E. hasLiterarySourceMedium
    Indicates that something derives from, is based on, or is expressed through a particular literary medium (such as a book, poem, or script).
  • 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_69f76dfbcdd881908c7b0b6bc502252b completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f79da9f80c8190b0afd8509f28747b completed May 3, 2026, 7:10 p.m.
PD Predicate disambiguation batch_69f79617d40481909ba372f94209c08b completed May 3, 2026, 6:38 p.m.
Created at: May 3, 2026, 4:04 p.m.