Triple

T9677303
Position Surface form Disambiguated ID Type / Status
Subject Here Comes Peter Cottontail E234189 entity
Predicate titleCharacter P9202 FINISHED
Object Peter Cottontail E813805 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: Peter Cottontail | Statement: [Here Comes Peter Cottontail, titleCharacter, Peter Cottontail]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Cottontail
Context triple: [Here Comes Peter Cottontail, titleCharacter, Peter Cottontail]
  • A. Peter Cottontail chosen
    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.
  • B. Benjamin Bunny
    Benjamin Bunny is a rabbit character from Beatrix Potter’s children’s stories, best known as Peter Rabbit’s cousin who joins him in mischievous garden adventures.
  • C. 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.
  • D. Bunny
    Bunny is a small village and civil parish in Nottinghamshire, England, known for its historic church and rural character.
  • E. Bunny
    Bunny is a supporting character in the psychological thriller film "Don't Worry Darling," portrayed as a seemingly content housewife whose role becomes more complex as the story’s unsettling reality is revealed.
  • 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_69ca84c99e34819092e5563a7106cfca completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9c99ee0481908ead5f7112117c90 completed April 1, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19f736b988190b963e216a805316d completed April 4, 2026, 11:32 p.m.
Created at: March 30, 2026, 8:16 p.m.