Triple

T19675433
Position Surface form Disambiguated ID Type / Status
Subject Georgian kingdoms E472439 entity
Predicate usedTitle P3254 FINISHED
Object King of the Georgians 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: King of the Georgians | Statement: [Georgian kingdoms, usedTitle, King of the Georgians]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: King of the Georgians
Context triple: [Georgian kingdoms, usedTitle, King of the Georgians]
  • A. King of the Georgians chosen
    King of the Georgians was the royal title borne by the medieval monarchs who ruled the unified Kingdom of Georgia, particularly under the Bagrationi dynasty.
  • B. The First Four Georges
    The First Four Georges is a historical work by Sir John H. Plumb that examines the reigns and personalities of Britain’s first four Hanoverian kings, George I through George IV.
  • C. The Fugitive Royalists
    The Fugitive Royalists is a painting by Victorian artist Rebecca Solomon that depicts exiled royalist figures, reflecting her interest in historical narrative and social themes.
  • 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 (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_69d8e514f2e08190ba70a4449519d218 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e641bb2b7c8190b2badf12ce2caa52 completed April 20, 2026, 3:09 p.m.
Created at: April 10, 2026, 1:45 p.m.