Triple

T13194660
Position Surface form Disambiguated ID Type / Status
Subject Rose Chapotel E314079 entity
Predicate centralConflictInvolves P96925 FINISHED
Object marital status 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: marital status | Statement: [Rose Chapotel, centralConflictInvolves, marital status]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: centralConflictInvolves
Context triple: [Rose Chapotel, centralConflictInvolves, marital status]
  • A. centralConflictIn chosen
    Indicates that one situation, issue, or opposition serves as the primary source of tension or struggle within another context, such as a story, event, or scenario.
  • B. mainConflict
    Indicates the primary opposing force, problem, or struggle that drives tension and narrative progression between entities or sides.
  • C. conflictIn
    Indicates that one entity is involved in, associated with, or occurs within a particular conflict or dispute.
  • D. internalConflict
    Indicates a relationship where an entity experiences opposing desires, beliefs, or motives within itself, leading to psychological or emotional tension.
  • E. addressesConflictWithin
    Indicates that one entity deals with, manages, or resolves a conflict that exists inside another entity or within its internal scope.
  • 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_69d806ae1e08819090d95bfe1538cc17 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98cf054f88190b05ced98d5a22a62 completed April 10, 2026, 11:51 p.m.
PD Predicate disambiguation batch_69d98bc6bc108190b5a6a265bf6e9fd4 completed April 10, 2026, 11:46 p.m.
Created at: April 9, 2026, 9:16 p.m.