Triple

T16619443
Position Surface form Disambiguated ID Type / Status
Subject Sophie Dahl E403784 entity
Predicate relative P37 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: [Sophie Dahl, relative, Roald Dahl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roald Dahl
Context triple: [Sophie Dahl, relative, 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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3754c934c8190a0a8ddd747681aa7 completed April 18, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a008a296a7481908aca94cf3d1f8d3b completed May 10, 2026, 1:37 p.m.
Created at: April 10, 2026, 5:17 a.m.