Triple

T15699483
Position Surface form Disambiguated ID Type / Status
Subject Farmer Bunce E380556 entity
Predicate creator P184 FINISHED
Object Roald Dahl E121485 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: Roald Dahl | Statement: [Farmer Bunce, creator, Roald Dahl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roald Dahl
Context triple: [Farmer Bunce, creator, 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 common Norwegian surname borne by numerous notable figures in fields such as computer science, literature, and the arts.
  • C. 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.
  • 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 (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_69d86d99e860819094b6957cde470f2c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f6d71308190971c10c599da9645 completed April 16, 2026, 2:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffa12713588190a888d6f6dd4290e1 completed May 9, 2026, 9:03 p.m.
Created at: April 10, 2026, 4:45 a.m.