Triple

T5757311
Position Surface form Disambiguated ID Type / Status
Subject Ed Mercer E127000 entity
Predicate laterRelationship P60493 FINISHED
Object reconciliatory friendship with Kelly Grayson 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: reconciliatory friendship with Kelly Grayson | Statement: [Ed Mercer, laterRelationship, reconciliatory friendship with Kelly Grayson]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: laterRelationship
Context triple: [Ed Mercer, laterRelationship, reconciliatory friendship with Kelly Grayson]
  • A. laterRelationWith chosen
    Indicates that one entity stands in a temporal relationship to another such that it occurs or exists at a later time than the other.
  • B. inRelationshipWith
    Indicates that two entities are mutually involved in a defined personal, romantic, or partnership relationship with each other.
  • C. closeRelationship
    Indicates a strong, intimate, or emotionally significant bond between two entities, suggesting familiarity, trust, and frequent or meaningful interaction.
  • D. relationshipPlannedWith
    Indicates that a relationship between two entities has been intentionally arranged or scheduled to occur in the future.
  • E. relationshipType
    Indicates the specific kind of relationship that exists between two or more entities.
  • 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_69c00833a3fc81908f4bc29ed011b7a6 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c029084e108190988f1b5f38254007 completed March 22, 2026, 5:38 p.m.
PD Predicate disambiguation batch_69c021cc68648190bb86d049ebe80f12 completed March 22, 2026, 5:07 p.m.
Created at: March 22, 2026, 3:49 p.m.