Triple

T8229608
Position Surface form Disambiguated ID Type / Status
Subject Linear B E192255 entity
Predicate deciphermentContributor P53089 FINISHED
Object John Chadwick E196083 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: John Chadwick | Statement: [Linear B, deciphermentContributor, John Chadwick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Chadwick
Context triple: [Linear B, deciphermentContributor, John Chadwick]
  • A. John Chadwick chosen
    John Chadwick was a British linguist and classical scholar best known for helping to decipher the ancient Mycenaean Greek script known as Linear B.
  • B. C. H. Dodd
    C. H. Dodd was a prominent 20th-century British New Testament scholar and theologian known for his influential work on the Gospel of John, realized eschatology, and the historical interpretation of Christian doctrine.
  • C. Raymond Priestley
    Raymond Priestley was a British geologist and Antarctic explorer who later became a prominent academic and university administrator.
  • D. Sir Alan Gardiner
    Sir Alan Gardiner was a prominent British Egyptologist best known for his influential work on ancient Egyptian grammar and hieroglyphic decipherment.
  • 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_69ca82db5b90819085d1ad7c2e27bfcc completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7802417c81908837c31136c41a5c completed March 31, 2026, 7:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd34de56688190a7c33bbcb12cd7c1 completed April 1, 2026, 3:08 p.m.
Created at: March 30, 2026, 5:46 p.m.