Triple

T14535731
Position Surface form Disambiguated ID Type / Status
Subject Dr. Dolittle 2 E341038 entity
Predicate basedOnWorkBy P2806 FINISHED
Object Hugh Lofting E349914 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: Hugh Lofting | Statement: [Dr. Dolittle 2, basedOnWorkBy, Hugh Lofting]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hugh Lofting
Context triple: [Dr. Dolittle 2, basedOnWorkBy, Hugh Lofting]
  • A. Hugh Lofting chosen
    Hugh Lofting was a British author best known for creating the beloved children's book series about Doctor Dolittle, a physician who can talk to animals.
  • 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. Roger Hargreaves
    Roger Hargreaves was a British author and illustrator best known for creating the popular "Mr. Men" and "Little Miss" children's book series.
  • D. J. M. Barrie
    J. M. Barrie was a Scottish novelist and playwright best known as the creator of Peter Pan, the boy who wouldn’t grow up.
  • 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_69d822dac79c8190a84a073f3cbaced5 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb1b9d39881908c7a3a5b17d432af completed April 14, 2026, 9:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a5ae04881909e7eb766fca33066 completed May 8, 2026, 5:53 a.m.
Created at: April 10, 2026, 1:22 a.m.