Triple

T21345017
Position Surface form Disambiguated ID Type / Status
Subject Emily Gale E526308 entity
Predicate createdBy P806 FINISHED
Object L. Frank Baum 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: L. Frank Baum | Statement: [Emily Gale, createdBy, L. Frank Baum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: L. Frank Baum
Context triple: [Emily Gale, createdBy, L. Frank Baum]
  • A. L. Frank Baum chosen
    L. Frank Baum was an American author best known for creating the beloved Oz series of children's fantasy novels.
  • B. Frank Joslyn Baum
    Frank Joslyn Baum was an American lawyer, writer, and the eldest son of L. Frank Baum, who helped manage and extend his father's Oz legacy.
  • C. W. W. Denslow
    W. W. Denslow was an American illustrator and caricaturist best known for creating the original iconic illustrations for L. Frank Baum’s Oz books.
  • D. Windland Smith Rice
    Windland Smith Rice was an American nature and wildlife photographer and conservationist, known for her award-winning images and for being the daughter of FedEx founder Frederick W. Smith.
  • E. Eugene Field
    Eugene Field was an American writer best known for his humorous newspaper columns and beloved children's poetry, including "Wynken, Blynken, and Nod."
  • 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_69e0b51c33048190ab27cede74ef798c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8a853e50c81909f8854eadf053049 completed April 22, 2026, 10:52 a.m.
Created at: April 16, 2026, 4:53 p.m.