Triple

T18662422
Position Surface form Disambiguated ID Type / Status
Subject The Great Mouse Detective E456233 entity
Predicate authorOfSourceMaterial P2806 FINISHED
Object Paul Galdone 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: Paul Galdone | Statement: [The Great Mouse Detective, authorOfSourceMaterial, Paul Galdone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul Galdone
Context triple: [The Great Mouse Detective, authorOfSourceMaterial, Paul Galdone]
  • A. Paul Galdone chosen
    Paul Galdone was a Hungarian-born American illustrator and author best known for his distinctive artwork in numerous classic children's books and fairy tales.
  • B. Robert Ellenstein
    Robert Ellenstein was an American character actor and director known for his work in film, television, and theater during the mid-20th century.
  • C. Michael J. Foreman
    Michael J. Foreman is a retired NASA astronaut and former U.S. Navy captain who flew on multiple Space Shuttle missions to the International Space Station.
  • D. Stephen Fleischman
    Stephen Fleischman is an American documentary filmmaker and television producer best known for his work at PBS and for being married to acclaimed film editor Dede Allen.
  • E. Hal Morgenstern
    Hal Morgenstern is an American epidemiologist known for his contributions to cancer epidemiology and methods in observational study design.
  • 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_69d8d38f72b4819090a935175d9ca8af completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5508b35ec819085c1c4c2c98d6672 completed April 19, 2026, 10 p.m.
Created at: April 10, 2026, 11:48 a.m.