Triple

T11984416
Position Surface form Disambiguated ID Type / Status
Subject Charlie and the Chocolate Factory E285240 entity
Predicate notableScene P7326 FINISHED
Object Chocolate River E514088 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: Chocolate River | Statement: [Charlie and the Chocolate Factory, notableScene, Chocolate River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chocolate River
Context triple: [Charlie and the Chocolate Factory, notableScene, Chocolate River]
  • A. Chocolate River chosen
    Chocolate River is the fantastical flowing river of liquid chocolate inside Willy Wonka’s magical candy factory in Roald Dahl’s story.
  • B. River Chater
    The River Chater is a small rural river in the East Midlands of England that flows through the county of Rutland before joining the River Welland.
  • C. River Roch
    The River Roch is a waterway in Greater Manchester, England, that flows through the town of Rochdale and has historically supported its local industry and settlement.
  • D. River Cher
    The River Cher is a tributary of the Loire in central France, known for flowing beneath the iconic Château de Chenonceau.
  • E. Bei River
    The Bei River is one of the principal tributaries of southern China’s Pearl River system, flowing through Guangdong province and helping drain the Pearl River Delta region.
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903973c848190aac871d6dfecc74b completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f472286edc8190ac72d7dd2b646c91 completed May 1, 2026, 9:28 a.m.
Created at: April 8, 2026, 9:46 p.m.