Triple

T22080793
Position Surface form Disambiguated ID Type / Status
Subject Anne Shirley has a rivalry and later friendship with Gilbert Blythe E545642 entity
Predicate relationshipTypeLater P10690 FINISHED
Object friendship 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: friendship | Statement: [Anne Shirley has a rivalry and later friendship with Gilbert Blythe, relationshipTypeLater, friendship]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: relationshipTypeLater
Context triple: [Anne Shirley has a rivalry and later friendship with Gilbert Blythe, relationshipTypeLater, friendship]
  • A. laterRelationshipWith
    Indicates that one entity has a relationship with another that occurs at a later time relative to some reference point or prior relationship.
  • B. relationshipType chosen
    Indicates the specific kind of relationship that exists between two or more entities.
  • C. laterRelationWith
    Indicates that one entity stands in a temporal relationship to another such that it occurs or exists at a later time than the other.
  • D. relationshipEnd
    Indicates that a previously existing relationship between entities has been terminated or has come to an end.
  • E. establishedRelationship
    Indicates that a formal, recognized relationship has been created and is now in effect between the referenced 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_69e11e3523488190badd54b5d580c00d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128b6338481908e6bb0187cdd42af completed April 28, 2026, 9:37 p.m.
PD Predicate disambiguation batch_69e71b20ec50819096ac196c798f8e3c completed April 21, 2026, 6:37 a.m.
Created at: April 16, 2026, 8:28 p.m.