Triple

T17907450
Position Surface form Disambiguated ID Type / Status
Subject Nigel Uno E447736 entity
Predicate teamMembers P7184 FINISHED
Object Wally Beetles 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: Wally Beetles | Statement: [Nigel Uno, teamMembers, Wally Beetles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wally Beetles
Context triple: [Nigel Uno, teamMembers, Wally Beetles]
  • A. Buzzy Beetle
    Buzzy Beetle is a hard-shelled, fireproof enemy from the Super Mario series that typically walks along surfaces and retreats into its shell when jumped on.
  • B. Wallabee Beetles chosen
    Wallabee "Wally" Beetles is a hot-headed, tough but loyal member of Sector V in the animated series Codename: Kids Next Door, where he serves as Numbuh 4.
  • C. Buster Beetle
    Buster Beetle is a recurring enemy in the Super Mario series known for picking up and throwing ice blocks at the player.
  • D. Beetlebum
    "Beetlebum" is a 1997 alternative rock single by the British band Blur, known for its introspective lyrics and distinctive, Beatles-influenced sound.
  • E. Beetle
    Beetle is a Marvel Comics supervillain known for his high-tech armored suit and frequent clashes with Spider-Man.
  • 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_69d8b9f6d394819082a6d69fd1e23d2f completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49e9d458881909e35e1c7a6e85436 completed April 19, 2026, 9:21 a.m.
Created at: April 10, 2026, 10:19 a.m.