Triple

T5359124
Position Surface form Disambiguated ID Type / Status
Subject Willy Wonka E102775 entity
Predicate owns P347 FINISHED
Object Wonka chocolate factory E102775 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: Wonka chocolate factory | Statement: [Willy Wonka, owns, Wonka chocolate factory]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wonka chocolate factory
Context triple: [Willy Wonka, owns, Wonka chocolate factory]
  • A. Chocolate Factory
    "Chocolate Factory" is a 2003 R&B album by R. Kelly known for its smooth production, dance-oriented tracks, and commercial success.
  • B. Willy Wonka chosen
    Willy Wonka is the eccentric, reclusive candy-maker and owner of a fantastical chocolate factory in Roald Dahl’s classic children’s story "Charlie and the Chocolate Factory."
  • C. the Candy Kingdom
    The Candy Kingdom is a whimsical, candy-themed monarchy in the animated series "Adventure Time," ruled by Princess Bubblegum and inhabited by sentient sweets.
  • D. Eurochocolate
    Eurochocolate is a major annual chocolate festival in Italy renowned for its tastings, exhibitions, and chocolate-themed events.
  • E. Santa's workshop
    Santa's workshop is the legendary North Pole facility where Santa Claus, Mrs. Claus, and their elves live and prepare toys for Christmas.
  • 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_69bd43d8f7248190b64c140734b5c9a8 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd86330e4c8190b5452226886287b3 completed March 20, 2026, 5:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf21e955a8819094a0b12e42e2d6a6 completed March 21, 2026, 10:55 p.m.
Created at: March 20, 2026, 2:02 p.m.