Triple

T11038957
Position Surface form Disambiguated ID Type / Status
Subject The Scarecrow of Oz E260958 entity
Predicate author P4 FINISHED
Object L. Frank Baum E48451 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: L. Frank Baum | Statement: [The Scarecrow of Oz, author, L. Frank Baum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: L. Frank Baum
Context triple: [The Scarecrow of Oz, author, 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 (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_69d6aa979bdc8190bf0e79104cc098c1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797fe93b081909d58bfd4b42715f0 completed April 9, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3a9d61b548190949f0dfbcb782064 completed April 18, 2026, 3:57 p.m.
Created at: April 8, 2026, 9:26 p.m.