Triple

T10223608
Position Surface form Disambiguated ID Type / Status
Subject Antony Beevor E242643 entity
Predicate name P16 FINISHED
Object Antony Beevor E242643 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: Antony Beevor | Statement: [Antony Beevor, name, Antony Beevor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Antony Beevor
Context triple: [Antony Beevor, name, Antony Beevor]
  • A. Antony Beevor chosen
    Antony Beevor is a British military historian and author renowned for his bestselling, critically acclaimed works on World War II, including "Stalingrad" and "Berlin: The Downfall 1945."
  • B. Max Hastings
    Max Hastings is a British journalist, editor, and military historian renowned for his authoritative books on World War II and modern warfare.
  • C. Alan Fairford
    Alan Fairford is a conscientious young Scottish lawyer who serves as one of the central protagonists in Sir Walter Scott’s novel "Redgauntlet."
  • D. Richard Pakenham
    Richard Pakenham was a 19th-century British diplomat best known for his role in negotiating Anglo-American boundary disputes, including the settlement of the Oregon boundary question.
  • E. Orlando Figes
    Orlando Figes is a British historian and author renowned for his influential works on Russian and European history.
  • 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_69d381ae26c48190985abd0e25ee5d04 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d3aa84a9ac819093d551005a1c8f3d completed April 6, 2026, 12:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69d6a8457e9c819085f222bb002be892 completed April 8, 2026, 7:11 p.m.
Created at: April 6, 2026, 11:10 a.m.