Triple

T33802848
Position Surface form Disambiguated ID Type / Status
Subject Annie Platt E866277 entity
Predicate relationshipTypeWith Duncan Thomson P206675 FINISHED
Object long-term romantic relationship — 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: long-term romantic relationship | Statement: [Annie Platt, relationshipTypeWith Duncan Thomson, long-term romantic relationship]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: relationshipTypeWith Duncan Thomson
Context triple: [Annie Platt, relationshipTypeWith Duncan Thomson, long-term romantic relationship]
  • A. relationshipTypeWith Dolly Talbo
    Indicates the specific nature or category of the relationship that an entity has with Dolly Talbo.
  • B. relationshipTypeWithTristan
    Indicates the specific nature or category of the relationship that an entity has with Tristan.
  • C. relationshipTypeWith Ty Davis Jr.
    Indicates the specific nature or category of the relationship that an entity has with Ty Davis Jr.
  • D. hasRelationshipTypeWith Alexandra Bergson
    Indicates that there exists a specific type or category of relationship between an entity and Alexandra Bergson.
  • E. relationshipTypeWith Brian Flanagan
    Indicates the specific nature or category of relationship that an entity has with Brian Flanagan.
  • 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_69f3499057fc81909d862b1309a3bd71 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_6a037e0953908190b2930b3c06a40129 completed May 12, 2026, 7:22 p.m.
PD Predicate disambiguation batch_6a0379f6c3308190b954f7810214ceed completed May 12, 2026, 7:05 p.m.
PDg Predicate description generation batch_6a037e07fe4481909ca21eae7a941ee7 completed May 12, 2026, 7:22 p.m.
Created at: May 1, 2026, 1:46 a.m.