Triple

T1392021
Position Surface form Disambiguated ID Type / Status
Subject New Atlantis E29980 entity
Predicate author P4 FINISHED
Object Francis Bacon E4473 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: Francis Bacon | Statement: [New Atlantis, author, Francis Bacon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Francis Bacon
Context triple: [New Atlantis, author, Francis Bacon]
  • A. Francis Bacon
    Francis Bacon was a 20th-century Irish-born British painter renowned for his raw, emotionally charged, and often disturbing figurative works.
  • B. Francis Bacon chosen
    Francis Bacon was an English philosopher, statesman, and pioneer of the scientific method whose works laid the foundations for modern empirical science.
  • C. Roger Bacon
    Roger Bacon was a 13th-century English philosopher and Franciscan friar known for his early advocacy of empirical methods and experimentation in the study of nature.
  • D. Henry Oldenburg
    Henry Oldenburg was a 17th-century German-born philosopher and diplomat who became the first Secretary of the Royal Society and a pioneering figure in early scientific communication.
  • E. Theodore de Mayerne
    Theodore de Mayerne was a prominent 17th-century Swiss-born physician and chemist who served as royal doctor in England and helped advance early modern medical and chemical practice.
  • 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_69a498dc92f8819094a1108f8ac90f43 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c35f7ab081909fe81dd475d6196f completed March 1, 2026, 10:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad08ac24948190b85c8e38b34509c9 completed March 8, 2026, 5:27 a.m.
Created at: March 1, 2026, 7:59 p.m.