Triple

T23290558
Position Surface form Disambiguated ID Type / Status
Subject Peter Rabbit E590016 entity
Predicate relative P37 FINISHED
Object Flopsy NE NERFINISHED

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: Flopsy | Statement: [Peter Rabbit, relative, Flopsy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flopsy
Context triple: [Peter Rabbit, relative, Flopsy]
  • A. Flopsy chosen
    Flopsy is one of the young rabbit characters in Beatrix Potter’s stories, best known as one of Peter Rabbit’s sisters.
  • B. Thumper
    Thumper is the cheerful, talkative rabbit who serves as Bambi’s playful best friend and comic relief in Disney’s classic animated film.
  • C. Mortimer Mouse
    Mortimer Mouse is a classic Disney character best known as Mickey Mouse’s smug, antagonistic rival, often portrayed as a boastful suitor to Minnie.
  • D. Ferdie Fieldmouse
    Ferdie Fieldmouse is a classic Disney cartoon character, best known as one of Mickey Mouse’s young nephews who appears in various animated shorts and comic stories.
  • E. Frank the Rabbit
    Frank the Rabbit is a haunting, time-traveling figure in a grotesque rabbit costume who serves as the eerie, prophetic guide to the troubled protagonist in the cult psychological thriller film "Donnie Darko."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e25d1af9d88190a0b9b5e8fa608618 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f196cb3fec8190a95255da97dd984e completed April 29, 2026, 5:27 a.m.
Created at: April 17, 2026, 5:01 p.m.