Triple

T1438559
Position Surface form Disambiguated ID Type / Status
Subject Noddy E31013 entity
Predicate franchise P1500 FINISHED
Object Noddy franchise E31013 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: Noddy franchise | Statement: [Noddy, franchise, Noddy franchise]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Noddy franchise
Context triple: [Noddy, franchise, Noddy franchise]
  • A. Noddy chosen
    Noddy is a popular British children's book character, a wooden boy who lives in the toy town of Toyland, created by author Enid Blyton.
  • B. Little Heroes
    Little Heroes is a cyberpunk science fiction novel by Norman Spinrad that explores the commercialization of music and culture in a near-future, media-saturated society.
  • C. Peter Rabbit series
    The Peter Rabbit series is a collection of beloved children's stories by Beatrix Potter featuring the mischievous rabbit Peter and other anthropomorphic animal characters in the English countryside.
  • D. Teddy Bears
    Teddy Bears is a popular nickname for Rangers F.C., one of Scotland’s most successful and widely supported football clubs.
  • E. Happy-Go-Lucky Toy Factory
    Happy-Go-Lucky Toy Factory is a fictional toy manufacturing company in the animated series "Family Guy," known as one of Peter Griffin's early workplaces.
  • 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_69a4991633388190a4d61b5a98aa407a completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c506d5ac8190b4c5b394c6d3f414 completed March 1, 2026, 11 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad30877a348190a99dbeaf45cd0335 completed March 8, 2026, 8:17 a.m.
Created at: March 1, 2026, 8 p.m.