Triple

T14106905
Position Surface form Disambiguated ID Type / Status
Subject Madame Josserand E339529 entity
Predicate authorIntention P12365 FINISHED
Object satire of bourgeois marriage market 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: satire of bourgeois marriage market | Statement: [Madame Josserand, authorIntention, satire of bourgeois marriage market]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: authorIntention
Context triple: [Madame Josserand, authorIntention, satire of bourgeois marriage market]
  • A. artisticIntention chosen
    Indicates that an action or creation is guided by a deliberate artistic purpose, concept, or expressive goal of its creator.
  • B. intendedWith
    Indicates that one entity is the planned or desired target, recipient, or context for the use or application of another entity.
  • C. authorshipInitially
    Indicates that an entity is the original or first author/creator of another entity before any subsequent authorship changes or contributions.
  • D. hasAuthorialStance
    Indicates that an entity expresses, embodies, or is associated with a particular author’s viewpoint, attitude, or perspective toward its subject matter.
  • E. literaryPurpose
    Indicates the intended function, effect, or communicative goal that a text or passage is meant to achieve within a literary context.
  • 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_69d81c69b5c8819094aa1abf18302908 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de600ada808190b92d67dc30f13d15 completed April 14, 2026, 3:40 p.m.
PD Predicate disambiguation batch_69de05b2f7e481908a9a7d40153234c0 completed April 14, 2026, 9:15 a.m.
Created at: April 9, 2026, 10:22 p.m.