Triple

T12302327
Position Surface form Disambiguated ID Type / Status
Subject Thumper E293260 entity
Predicate familyMember P566 FINISHED
Object Mrs. Rabbit (mother) E866783 NE 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: Mrs. Rabbit (mother) | Statement: [Thumper, familyMember, Mrs. Rabbit (mother)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mrs. Rabbit (mother)
Context triple: [Thumper, familyMember, Mrs. Rabbit (mother)]
  • A. Rebecca Rabbit
    Rebecca Rabbit is a cheerful, carrot-loving rabbit who appears as one of Peppa Pig’s close friends in the British animated children’s television series.
  • B. Peter Cottontail
    Peter Cottontail is a popular fictional Easter Bunny character from children's stories and songs, often depicted delivering eggs and treats in celebration of Easter.
  • C. Miss Rabbit chosen
    Miss Rabbit is a hardworking and versatile character in the children's animated series "Peppa Pig," known for doing an astonishing number of different jobs around town.
  • D. Old Mr. Bunny
    Old Mr. Bunny is a stern but caring rabbit father figure in Beatrix Potter’s Peter Rabbit stories, notably appearing in "The Tale of Benjamin Bunny."
  • E. Bunny
    Bunny is an Oscar-winning animated short film by Blue Sky Studios, renowned for its emotional storytelling and pioneering use of computer-generated imagery.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d6ab6a2b50819082f6aedd32ed608a completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93edb59908190bcef9d0cdc11081f completed April 10, 2026, 6:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e7d757881908ac6af2b70a6dafe completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:53 p.m.