Triple

T15298027
Position Surface form Disambiguated ID Type / Status
Subject Force H E365710 entity
Predicate notableCommander P1197 FINISHED
Object John Tovey E1070218 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 Tovey | Statement: [Force H, notableCommander, John Tovey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Tovey
Context triple: [Force H, notableCommander, John Tovey]
  • A. John Tovey chosen
    John Tovey is a notable individual distinguished by his association with the surname Tovey, recognized for his contributions in his respective field.
  • B. William Praed
    William Praed was a prominent English banker and politician of the late 18th and early 19th centuries.
  • C. Osbert Salvin
    Osbert Salvin was a 19th-century British naturalist and ornithologist known for his extensive work on the birds and natural history of Central America.
  • D. John Bevan
    John Bevan was a British intelligence officer who played a key role in planning and overseeing Allied deception operations during World War II.
  • E. George Murray
    George Murray was a distinguished Royal Navy officer who served as one of Admiral Horatio Nelson’s key captains during the Napoleonic Wars.
  • 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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03686bfb8819080ba0caae652170a completed April 16, 2026, 1:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69feef82f6d08190b809260dda247dfe completed May 9, 2026, 8:25 a.m.
Created at: April 10, 2026, 3:15 a.m.