Triple

T6186373
Position Surface form Disambiguated ID Type / Status
Subject Deloris Van Cartier E138069 entity
Predicate relationshipTypeWith Vince LaRocca P61561 FINISHED
Object girlfriend 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: girlfriend | Statement: [Deloris Van Cartier, relationshipTypeWith Vince LaRocca, girlfriend]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: relationshipTypeWith Vince LaRocca
Context triple: [Deloris Van Cartier, relationshipTypeWith Vince LaRocca, girlfriend]
  • A. associatedVice
    Indicates a relationship where one entity is linked to or connected with a particular vice, wrongdoing, or morally negative behavior of another entity.
  • B. inRelationshipWith chosen
    Indicates that two entities are mutually involved in a defined personal, romantic, or partnership relationship with each other.
  • C. relationshipToLaureyWilliams
    Indicates the nature or type of relational connection an entity has specifically to Laurey Williams.
  • D. relationshipToLaurie
    Indicates the specific type of relationship or connection that an entity has to Laurie.
  • 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_69c008a8fd408190b7ec6e42934974a6 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0621671988190938dd16242a2e4d5 completed March 22, 2026, 9:41 p.m.
PD Predicate disambiguation batch_69c055fa0a808190bda37832e3ac150c completed March 22, 2026, 8:50 p.m.
Created at: March 22, 2026, 4:19 p.m.