Triple

T6051913
Position Surface form Disambiguated ID Type / Status
Subject Hop (2011 film) E134813 entity
Predicate subject P450 FINISHED
Object Easter Bunny E20173 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: Easter Bunny | Statement: [Hop (2011 film), subject, Easter Bunny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Easter Bunny
Context triple: [Hop (2011 film), subject, Easter Bunny]
  • A. Easter Bunny chosen
    The Easter Bunny is a folkloric figure and symbol of Easter, typically depicted as a rabbit that brings and hides decorated eggs for children to find.
  • B. Duracell Bunny
    The Duracell Bunny is a pink, drum-playing rabbit mascot used in advertising to symbolize Duracell batteries’ long-lasting power and reliability.
  • C. Bean Bunny
    Bean Bunny is a small, enthusiastic rabbit Muppet character known for his cute appearance and supporting roles in various Muppet productions.
  • D. 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.
  • E. Greg the Bunny
    Greg the Bunny is a satirical television comedy series featuring a world where puppets and humans coexist, blending puppet characters with live-action actors in a behind-the-scenes showbiz setting.
  • 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_69c00877b6d4819096b0e163728b73a3 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056f802988190aafdb7cbb087c828 completed March 22, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c113a911548190b4269d094f65308d completed March 23, 2026, 10:19 a.m.
Created at: March 22, 2026, 4:09 p.m.