Triple

T12192302
Position Surface form Disambiguated ID Type / Status
Subject Hermione Roddice E290493 entity
Predicate emotionalDynamicWith Rupert Birkin P57237 FINISHED
Object possessive 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: possessive | Statement: [Hermione Roddice, emotionalDynamicWith Rupert Birkin, possessive]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: emotionalDynamicWith Rupert Birkin
Context triple: [Hermione Roddice, emotionalDynamicWith Rupert Birkin, possessive]
  • A. emotionalDynamic chosen
    Indicates how emotions, moods, or affective states change, interact, or influence each other between entities over time.
  • B. emotionalRole
    Indicates a relationship where one entity holds a particular emotional significance, function, or impact in relation to another entity.
  • C. emotionalCoreOf
    Indicates that one entity serves as the central source, essence, or primary driver of another entity’s emotional character or experience.
  • D. Inside Out Project
    Indicates a relationship where an initiative or action turns internal perspectives, stories, or issues outward into public, visible expression or engagement.
  • E. describedAsByBertieWooster
    Indicates that something is characterized or portrayed in a particular way by the character Bertie Wooster.
  • 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.