Triple

T26915202
Position Surface form Disambiguated ID Type / Status
Subject Le Miroir de l’âme pécheresse E677497 entity
Predicate literaryMode P142935 FINISHED
Object meditative 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: meditative | Statement: [Le Miroir de l’âme pécheresse, literaryMode, meditative]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: literaryMode
Context triple: [Le Miroir de l’âme pécheresse, literaryMode, meditative]
  • A. hasLiteraryMode chosen
    Indicates that a work, text, or expression is associated with a particular literary mode (such as satire, realism, or allegory) that characterizes its style or narrative approach.
  • B. literaryScript
    Indicates a relationship where an entity serves as the written text or script of a literary work, such as a play, film, or other narrative production.
  • C. literaryLanguage
    Indicates that an entity is expressed, written, or communicated using a particular literary or standardized written language.
  • D. literaryFeature
    Indicates a relationship where something possesses or exhibits a characteristic, device, or stylistic element used in literature.
  • E. literaryUse
    Indicates that something is employed or referenced within a literary context, such as in a written work, style, or technique.
  • 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_69eee9bcef1c8190be88586bb902bb9b completed April 27, 2026, 4:44 a.m.
NER Named-entity recognition batch_69f674e06c9481909ed0ea736408f0d7 completed May 2, 2026, 10:04 p.m.
PD Predicate disambiguation batch_69f673c2f81c8190bf369226306eef09 completed May 2, 2026, 9:59 p.m.
Created at: April 27, 2026, 6:04 a.m.