Triple

T13577714
Position Surface form Disambiguated ID Type / Status
Subject Jean-Marc Nattier E324330 entity
Predicate educatedBy P335 FINISHED
Object Jean Jouvenet E78563 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: Jean Jouvenet | Statement: [Jean-Marc Nattier, educatedBy, Jean Jouvenet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jean Jouvenet
Context triple: [Jean-Marc Nattier, educatedBy, Jean Jouvenet]
  • A. Jean Jouvenet chosen
    Jean Jouvenet was a prominent French Baroque painter known for his large-scale religious compositions and influential role in the artistic life of late 17th- and early 18th-century France.
  • B. Louis Gohier
    Louis Gohier was a French lawyer and politician who served as a member of the French Directory during the late stages of the French Revolution.
  • C. Jean-Pierre Dufau
    Jean-Pierre Dufau is a French politician known for his role in centrist politics, including helping to establish the Union of Democrats and Independents (UDI).
  • D. Jean Béraud
    Jean Béraud was a French painter renowned for his detailed and lively depictions of Parisian life during the Belle Époque.
  • E. Jean-Jacques Henner
    Jean-Jacques Henner was a 19th-century French painter renowned for his atmospheric portraits and nudes, often characterized by soft chiaroscuro and luminous red-haired figures.
  • 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_69d80769100c819099111274614f5ed2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb02de1988190af2d473973ecd529 completed April 12, 2026, 2:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76bbbe3c08190a359dfe7c3c8f15c completed May 3, 2026, 3:37 p.m.
Created at: April 9, 2026, 9:48 p.m.