Triple

T16163977
Position Surface form Disambiguated ID Type / Status
Subject Link Larkin E392251 entity
Predicate initialRelationship P115648 FINISHED
Object boyfriend of Amber Von Tussle 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: boyfriend of Amber Von Tussle | Statement: [Link Larkin, initialRelationship, boyfriend of Amber Von Tussle]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: initialRelationship
Context triple: [Link Larkin, initialRelationship, boyfriend of Amber Von Tussle]
  • A. basisOfRelationship
    Indicates that one entity serves as the foundational reason, cause, or justification for the relationship that exists between two or more entities.
  • B. proposedRelationship
    Indicates that one entity has suggested or put forward the possibility of entering into a specific type of relationship with another entity.
  • C. inRelationshipWith
    Indicates that two entities are mutually involved in a defined personal, romantic, or partnership relationship with each other.
  • D. laterRelationshipWith chosen
    Indicates that one entity has a relationship with another that occurs at a later time relative to some reference point or prior relationship.
  • E. closeRelationship
    Indicates a strong, intimate, or emotionally significant bond between two entities, suggesting familiarity, trust, and frequent or meaningful 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_69d87f1d32208190942e4e499a80c18c completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21e622ae481909f3cf25b38886d3a completed April 17, 2026, 11:49 a.m.
PD Predicate disambiguation batch_69e1828abb608190a99d86bce1d77de2 completed April 17, 2026, 12:44 a.m.
Created at: April 10, 2026, 5:02 a.m.