Triple

T5228043
Position Surface form Disambiguated ID Type / Status
Subject The Wonderful Thing About Tiggers E118040 entity
Predicate featuresCharacter P626 FINISHED
Object Tigger E352812 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: Tigger | Statement: [The Wonderful Thing About Tiggers, featuresCharacter, Tigger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tigger
Context triple: [The Wonderful Thing About Tiggers, featuresCharacter, Tigger]
  • A. Tigger chosen
    Tigger is a bouncy, exuberant tiger character from A. A. Milne’s Winnie-the-Pooh stories, known for his boundless energy and cheerful personality.
  • B. Winnie-the-Pooh
    Winnie-the-Pooh is a classic children's character created by A. A. Milne, known as a lovable, honey-obsessed bear who lives in the Hundred Acre Wood with his animal friends.
  • C. TOM the Tiger
    TOM the Tiger is the live Bengal tiger mascot that represents the University of Memphis Tigers athletic programs.
  • D. Teddy
    Teddy is Mr. Bean’s beloved brown teddy bear, a silent yet expressive companion that often serves as his confidant and playmate in the comedy series.
  • E. Teddy
    Teddy is a character in Louisa May Alcott’s novel "Jo’s Boys," part of the continuation of the March family saga begun in "Little Women."
  • 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_69bd4466fb8c819083b806a79414d7e4 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7adee36881909b034b8735db9d67 completed March 20, 2026, 4:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69befe604a848190a3f6cc90185b3ca2 completed March 21, 2026, 8:24 p.m.
Created at: March 20, 2026, 1:48 p.m.