Triple

T12192301
Position Surface form Disambiguated ID Type / Status
Subject Hermione Roddice E290493 entity
Predicate relationshipTypeWith Rupert Birkin P10690 FINISHED
Object former lover 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: former lover | Statement: [Hermione Roddice, relationshipTypeWith Rupert Birkin, former lover]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: relationshipTypeWith Rupert Birkin
Context triple: [Hermione Roddice, relationshipTypeWith Rupert Birkin, former lover]
  • A. relationshipTypeWithBertieWooster
    Indicates the specific nature or category of relationship an entity has with Bertie Wooster.
  • B. relationshipToBertieWooster
    Indicates the specific type of personal or social relationship an entity has with Bertie Wooster.
  • C. relationshipType chosen
    Indicates the specific kind of relationship that exists between two or more entities.
  • D. relationshipTypeWithRobertAngier
    Indicates the specific nature or category of relationship that an entity has with Robert Angier.
  • E. relationTypeToHenryVIII
    Indicates the specific type of relationship an entity has to Henry VIII (e.g., familial, political, or social connection).
  • 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_69d6ab64de5881908d56eb7a75c6cc69 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d938cd2edc8190b1971349dbc0dee0 completed April 10, 2026, 5:52 p.m.
PD Predicate disambiguation batch_69d91c38321c819080d500d0d64a04f6 completed April 10, 2026, 3:50 p.m.
Created at: April 8, 2026, 9:50 p.m.