Triple

T15492293
Position Surface form Disambiguated ID Type / Status
Subject Frank Currier E378718 entity
Predicate notableWork P4 FINISHED
Object The Prisoner of Zenda E25755 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: The Prisoner of Zenda | Statement: [Frank Currier, notableWork, The Prisoner of Zenda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Prisoner of Zenda
Context triple: [Frank Currier, notableWork, The Prisoner of Zenda]
  • A. The Prisoner of Zenda chosen
    The Prisoner of Zenda is a classic adventure novel, frequently adapted to film, about an Englishman who must impersonate a kidnapped king to save a central European kingdom.
  • B. King of Ruritania
    The King of Ruritania is the fictional monarch at the center of Anthony Hope’s adventure novel "The Prisoner of Zenda," whose kidnapping and impersonation drive the story’s plot.
  • C. The American Prince
    The American Prince is a work associated with British actor and writer Rupert Everett, likely reflecting his distinctive perspective and experiences in the entertainment world.
  • D. The Royal
    The Royal is a British television drama series set in a 1960s seaside hospital, known as a spin-off from the long-running show Heartbeat.
  • E. The Royal
    The Royal is a major annual agricultural and equestrian fair held in Toronto, showcasing livestock, horse shows, food, and rural traditions.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fad723481908d2aa33e8f065f2f completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3660fc6c81908caf1729260a8338 completed May 9, 2026, 1:28 p.m.
Created at: April 10, 2026, 3:49 a.m.