Triple

T14779072
Position Surface form Disambiguated ID Type / Status
Subject Nanny E347342 entity
Predicate basedOnAuthor P2806 FINISHED
Object Dodie Smith E347338 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: Dodie Smith | Statement: [Nanny, basedOnAuthor, Dodie Smith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dodie Smith
Context triple: [Nanny, basedOnAuthor, Dodie Smith]
  • A. Dodie Smith chosen
    Dodie Smith was an English novelist and playwright best known for writing the children's classic "The Hundred and One Dalmatians."
  • B. E. Nesbit
    E. Nesbit was a pioneering English author best known for her influential children's novels such as "The Railway Children" and "Five Children and It."
  • C. Doreen Mantle
    Doreen Mantle was a British actress best known for her long-running role as Mrs. Warboys in the BBC sitcom "One Foot in the Grave."
  • D. Judith Kerr
    Judith Kerr was a German-born British writer and illustrator best known for her classic children’s books such as "The Tiger Who Came to Tea" and the "Mog" series.
  • E. Roald Dahl
    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.
  • 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_69d822e9b9e08190bedcc31a163fda82 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deca9c7cac8190ba900df95e42e318 completed April 14, 2026, 11:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe388d398c81909d275f487cc38d9c completed May 8, 2026, 7:25 p.m.
Created at: April 10, 2026, 1:31 a.m.