Triple

T10223747
Position Surface form Disambiguated ID Type / Status
Subject Orlando Figes E242646 entity
Predicate name P16 FINISHED
Object Orlando Figes E242646 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: Orlando Figes | Statement: [Orlando Figes, name, Orlando Figes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orlando Figes
Context triple: [Orlando Figes, name, Orlando Figes]
  • A. Orlando Figes chosen
    Orlando Figes is a British historian and author renowned for his influential works on Russian and European history.
  • B. Carlos Kotkin
    Carlos Kotkin is an American screenwriter and author best known for his work on animated family films and humorous personal storytelling.
  • C. Timothy Snyder
    Timothy Snyder is an American historian and Yale professor renowned for his works on Eastern Europe, the Holocaust, and the political uses of history.
  • D. Norman Davies
    Norman Davies is a British historian renowned for his influential works on Polish and European history, including detailed studies of key events such as the 1920 Battle of Warsaw.
  • E. Eric Hobsbawm
    Eric Hobsbawm was a British Marxist historian renowned for his influential works on the "long nineteenth century" and the social and economic history of modern Europe.
  • 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, 11:11 a.m.