Triple

T18007143
Position Surface form Disambiguated ID Type / Status
Subject Carl Linstrum E430781 entity
Predicate hasRelationshipTypeWith Alexandra Bergson P130099 FINISHED
Object emotional bond 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: emotional bond | Statement: [Carl Linstrum, hasRelationshipTypeWith Alexandra Bergson, emotional bond]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRelationshipTypeWith Alexandra Bergson
Context triple: [Carl Linstrum, hasRelationshipTypeWith Alexandra Bergson, emotional bond]
  • A. hasRelationshipTypeWith Tai Frasier
    Indicates that there exists a specific type of relationship between an entity and Tai Frasier.
  • B. worksInCloseRelationshipWith
    Indicates a collaborative professional relationship in which two or more entities work together closely and interact frequently to achieve shared goals.
  • C. hasRelationshipTypeWith Vince Tyler
    Indicates that an entity is connected to Vince Tyler by a specific, characterized type of relationship.
  • D. relationshipTypeWith Francesca Johnson
    Indicates the specific nature or category of the relationship that an entity has with Francesca Johnson.
  • E. inRelationshipWith
    Indicates that two entities are mutually involved in a defined personal, romantic, or partnership relationship with each other.
  • F. None of above. chosen

Provenance (4 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_69d8b904530081908bf341d842464856 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4b51c7da48190ab70775a672e2d5f completed April 19, 2026, 10:57 a.m.
PD Predicate disambiguation batch_69e3f90039e4819080527f860dca042e completed April 18, 2026, 9:34 p.m.
PDg Predicate description generation batch_69e42d8d68288190a05dc5d7803cf823 completed April 19, 2026, 1:19 a.m.
Created at: April 10, 2026, 10:24 a.m.