Triple

T7044504
Position Surface form Disambiguated ID Type / Status
Subject Energizer E163596 entity
Predicate hasMascot P52 FINISHED
Object Energizer Bunny E161480 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: Energizer Bunny | Statement: [Energizer, hasMascot, Energizer Bunny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Energizer Bunny
Context triple: [Energizer, hasMascot, Energizer Bunny]
  • A. Duracell Bunny chosen
    The Duracell Bunny is a pink, drum-playing rabbit mascot used in advertising to symbolize Duracell batteries’ long-lasting power and reliability.
  • B. Bean Bunny
    Bean Bunny is a small, enthusiastic rabbit Muppet character known for his cute appearance and supporting roles in various Muppet productions.
  • C. Bugs Bunny
    Bugs Bunny is an iconic, wisecracking cartoon rabbit from the Looney Tunes series, famous for his catchphrase "What's up, Doc?" and his clever, mischievous antics.
  • D. 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.
  • E. Buggsy
    Buggsy is the nickname of Martin "Buggsy" Goldstein, an American mobster associated with organized crime in the early 20th century.
  • 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_69c6885f598c8190b6b6495c59d8d962 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e23730888190a827ca5c61c4eed0 completed March 27, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7887799f48190b4fa311defd8e9fd completed March 28, 2026, 7:51 a.m.
Created at: March 27, 2026, 2:37 p.m.