Triple

T8761762
Position Surface form Disambiguated ID Type / Status
Subject King Rudolf V E208217 entity
Predicate creator P184 FINISHED
Object Anthony Hope E135965 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: Anthony Hope | Statement: [King Rudolf V, creator, Anthony Hope]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anthony Hope
Context triple: [King Rudolf V, creator, Anthony Hope]
  • A. Anthony Hope chosen
    Anthony Hope was a British novelist and playwright best known for his swashbuckling adventure novel "The Prisoner of Zenda," which became a classic of romantic adventure fiction.
  • B. Richard Llewellyn
    Richard Llewellyn was a Welsh novelist best known for his 1939 work "How Green Was My Valley," a classic depiction of life in a South Wales mining community.
  • C. Thomas Guy
    Thomas Guy was an English bookseller, philanthropist, and Member of Parliament best known for endowing and establishing Guy’s Hospital in London in the early 18th century.
  • D. Mervyn Peake
    Mervyn Peake was a British writer and illustrator best known for his richly imaginative and gothic Gormenghast fantasy series.
  • E. Harold Lamb
    Harold Lamb was an American historian, novelist, and screenwriter best known for his popular biographies and adventure stories set in Asian and Middle Eastern historical contexts.
  • 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_69ca835df7e08190ac875664cca8f9ca completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5dfa9d6c81908c4c6b3a6f84f67d completed March 31, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf4354a4c081908c338db408694abf completed April 3, 2026, 4:34 a.m.
Created at: March 30, 2026, 6:40 p.m.