Triple

T11641301
Position Surface form Disambiguated ID Type / Status
Subject Philosophie zoologique E276666 entity
Predicate influencedBy P9 FINISHED
Object Buffon E163513 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: Buffon | Statement: [Philosophie zoologique, influencedBy, Buffon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buffon
Context triple: [Philosophie zoologique, influencedBy, Buffon]
  • A. Buffon chosen
    Buffon was an 18th-century French naturalist whose pioneering work in natural history and ideas about species and the age of the Earth significantly shaped early evolutionary thought.
  • B. Edmé
    Edmé is a French given name historically borne by figures such as the 18th-century sculptor and draftsman Edmé Bouchardon.
  • C. Pierre Poisson
    Pierre Poisson was a French architect known for his work on the historic Palais des Papes in Avignon.
  • D. Bézu Fache
    Bézu Fache is the stern and devout captain of the French Judicial Police who leads the investigation at the Louvre in Dan Brown’s novel *The Da Vinci Code*.
  • E. Pierre Simon
    Pierre Simon is a French politician who has served as a member of the Senate of France, representing the department of Côtes-d'Armor.
  • 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_69d6aafbb3c081908a9cdb4ecb8d981d completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a260ab488190ab1c00d9850f3096 completed April 10, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee87deb3888190842bd61efd7b3989 completed April 26, 2026, 9:47 p.m.
Created at: April 8, 2026, 9:39 p.m.