Triple

T10719018
Position Surface form Disambiguated ID Type / Status
Subject The Mickey Mouse Club E252766 entity
Predicate features P997 FINISHED
Object Mouseketeers E882011 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: Mouseketeers | Statement: [The Mickey Mouse Club, features, Mouseketeers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mouseketeers
Context triple: [The Mickey Mouse Club, features, Mouseketeers]
  • A. Mouseketeers chosen
    Mouseketeers are the child and teen performers who served as the on-screen cast of Disney’s classic television variety show The Mickey Mouse Club.
  • B. Maimies
    Maimies is an alternate historical name for the Mayaimi people, a Native American group that once inhabited the Lake Okeechobee region of present-day Florida.
  • C. Lil Mouse
    Lil Mouse is a Chicago drill rapper who gained early notoriety as a teenager for his gritty street-themed tracks and collaborations with prominent artists in the scene.
  • D. Tukkies
    Tukkies is the popular nickname for the University of Pretoria, a major public research university in South Africa.
  • E. Bizaardvark
    Bizaardvark is a Disney Channel comedy series about two teen best friends who create funny music videos for their online channel.
  • 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_69d6aa5d8be481909a43218b2bfdbe95 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6ff3722ec8190b2d78a5630bf6efc completed April 9, 2026, 1:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69de5568489c81908a902867feffdb4f completed April 14, 2026, 2:55 p.m.
Created at: April 8, 2026, 9:13 p.m.