Triple

T20499749
Position Surface form Disambiguated ID Type / Status
Subject You Only Live Twice E503267 entity
Predicate filmAdaptationScreenwriter P15305 FINISHED
Object Roald Dahl NE NERFINISHED

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: Roald Dahl | Statement: [You Only Live Twice, filmAdaptationScreenwriter, Roald Dahl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roald Dahl
Context triple: [You Only Live Twice, filmAdaptationScreenwriter, Roald Dahl]
  • A. Roald Dahl chosen
    Roald Dahl was a British author famed for his darkly imaginative children's books such as "Charlie and the Chocolate Factory" and "Matilda," as well as his work in adult fiction and screenwriting.
  • B. Dahl
    Dahl is a locality in Germany situated along the Volme River, known for its scenic valley setting and historical connection to the surrounding Ruhr region.
  • C. Dahl
    Dahl is a common Norwegian surname borne by numerous notable figures in fields such as computer science, literature, and the arts.
  • D. Michael Bond
    Michael Bond was a British author best known for creating the beloved children's character Paddington Bear.
  • E. Dodie Smith
    Dodie Smith was an English novelist and playwright best known for writing the children's classic "The Hundred and One Dalmatians."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4b1e52c8190894281cf7e3283ab completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69cc10cd08190915b6c29c6473f77 completed April 20, 2026, 9:38 p.m.
Created at: April 16, 2026, 11:35 a.m.