Triple

T10337929
Position Surface form Disambiguated ID Type / Status
Subject Gardiner's sign list E243054 entity
Predicate author P4 FINISHED
Object Alan Gardiner E267313 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: Alan Gardiner | Statement: [Gardiner's sign list, author, Alan Gardiner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alan Gardiner
Context triple: [Gardiner's sign list, author, Alan Gardiner]
  • A. Sir Alan Gardiner chosen
    Sir Alan Gardiner was a prominent British Egyptologist best known for his influential work on ancient Egyptian grammar and hieroglyphic decipherment.
  • B. Alfred Rawlinson
    Alfred Rawlinson was an Anglican clergyman who served as the Bishop of Derby in the Church of England.
  • C. Henry Creswicke Rawlinson
    Henry Creswicke Rawlinson was a 19th-century British army officer, diplomat, and pioneering Assyriologist renowned for helping to decipher cuneiform script and laying foundations for the study of ancient Mesopotamian civilizations.
  • D. John Chadwick
    John Chadwick was a British linguist and classical scholar best known for helping to decipher the ancient Mycenaean Greek script known as Linear B.
  • E. George S. Oppenheim
    George S. Oppenheim was an American publisher best known as a founder of the influential publishing house Viking Press.
  • 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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e0a3a8e4819097268ce101dec2d1 completed April 7, 2026, 10:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69d794fe4fe481908e4c343ceeb5de25 completed April 9, 2026, 12:01 p.m.
Created at: April 6, 2026, 11:54 a.m.