Triple

T29240115
Position Surface form Disambiguated ID Type / Status
Subject Albertine Simonet E741295 entity
Predicate rumoredToHaveRelationshipsWith P120587 FINISHED
Object women 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: women | Statement: [Albertine Simonet, rumoredToHaveRelationshipsWith, women]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: rumoredToHaveRelationshipsWith
Context triple: [Albertine Simonet, rumoredToHaveRelationshipsWith, women]
  • A. hasAllegedRelationshipWith chosen
    Indicates a claimed or suspected relationship between two entities that is not confirmed as factual.
  • B. inRelationshipWith
    Indicates that two entities are mutually involved in a defined personal, romantic, or partnership relationship with each other.
  • C. worksInCloseRelationshipWith
    Indicates a collaborative professional relationship in which two or more entities work together closely and interact frequently to achieve shared goals.
  • D. playerRelations
    Indicates the nature or status of the relationship between players, such as alliances, rivalries, or other interpersonal dynamics.
  • E. hasPoliticalRelationshipWith
    Indicates a political connection or association between two entities, such as alliances, rivalries, collaborations, or other forms of political interaction.
  • 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_69f0911dd6fc819097d1abb287016489 completed April 28, 2026, 10:51 a.m.
NER Named-entity recognition batch_69f6648570cc819095f42f2b8233d918 completed May 2, 2026, 8:54 p.m.
PD Predicate disambiguation batch_69f65c24f8b48190af81b575f3c15be5 completed May 2, 2026, 8:18 p.m.
Created at: April 28, 2026, 12:30 p.m.