Triple

T20192614
Position Surface form Disambiguated ID Type / Status
Subject Arwing E493010 entity
Predicate primaryUser P2090 FINISHED
Object Peppy Hare 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: Peppy Hare | Statement: [Arwing, primaryUser, Peppy Hare]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peppy Hare
Context triple: [Arwing, primaryUser, Peppy Hare]
  • A. Peppy Hare chosen
    Peppy Hare is a veteran pilot and mentor figure in Nintendo’s Star Fox series, known for his guidance to Fox McCloud and the iconic line “Do a barrel roll!”
  • B. Buster Bunny
    Buster Bunny is a blue, energetic young rabbit and the main student protagonist in the animated series Tiny Toon Adventures, known for his wisecracking personality and mentorship under Bugs Bunny.
  • C. Ricochet Rabbit & Droop-a-Long
    Ricochet Rabbit & Droop-a-Long is a classic Hanna-Barbera animated Western comedy segment featuring a hyper-fast sheriff rabbit and his slow-witted deputy.
  • D. Miss Rabbit
    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.
  • E. Bean Bunny
    Bean Bunny is a small, enthusiastic rabbit Muppet character known for his cute appearance and supporting roles in various Muppet productions.
  • 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_69da6268a034819081cbd9ea5a1c9475 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66ad654648190a27521e6e8ea40c5 completed April 20, 2026, 6:05 p.m.
Created at: April 11, 2026, 11:37 p.m.