Triple

T1438535
Position Surface form Disambiguated ID Type / Status
Subject Noddy E31013 entity
Predicate characterIn P12208 FINISHED
Object Noddy, Toyland Detective 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, Toyland Detective | Statement: [Noddy, characterIn, Noddy, Toyland Detective]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Noddy, Toyland Detective
Context triple: [Noddy, characterIn, Noddy, Toyland Detective]
  • 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. Mr. Plod
    Mr. Plod is the bumbling village policeman character from Enid Blyton’s Noddy stories, known for trying to keep order in Toyland.
  • C. The Tale of Mrs. Tiggy-Winkle
    The Tale of Mrs. Tiggy-Winkle is a classic children's picture book featuring a kindly hedgehog washerwoman, written and illustrated by Beatrix Potter.
  • D. The Toy
    The Toy is a 1982 comedy film starring Richard Pryor as a man hired by a wealthy businessman to be a spoiled rich child's "live" plaything, exploring themes of race, class, and exploitation through slapstick humor.
  • E. Dora
    Dora is the given name of Dora Sigerson Shorter, an Irish poet associated with the late 19th- and early 20th-century literary revival.
  • 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.