Triple

T7080695
Position Surface form Disambiguated ID Type / Status
Subject Charles Camoin E164945 entity
Predicate name P16 FINISHED
Object Charles Camoin E164945 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: Charles Camoin | Statement: [Charles Camoin, name, Charles Camoin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charles Camoin
Context triple: [Charles Camoin, name, Charles Camoin]
  • A. Charles Camoin chosen
    Charles Camoin was a French painter associated with the Fauvist movement, known for his vibrant use of color and expressive landscapes and figure paintings.
  • B. Charles L’Eplattenier
    Charles L’Eplattenier was a Swiss painter, decorative artist, and influential art teacher whose nature-inspired style helped shape the early artistic development of architect Le Corbusier.
  • C. Charles Mangin
    Charles Mangin was a prominent French general of World War I, noted for his aggressive tactics and key role in major Allied offensives on the Western Front.
  • D. Charles LeMaire
    Charles LeMaire was an American costume designer renowned for his work in Hollywood’s Golden Age, earning multiple Academy Awards for his contributions to classic films.
  • E. Charles Lemaresquier
    Charles Lemaresquier was a French architect known for his early 20th-century academic and institutional buildings, continuing the Beaux-Arts tradition in France.
  • 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_69c6887cbc6c8190bdfac42d940f4d8a completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e4f063488190b9e1c614a9294bd1 completed March 27, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c79c8f11a48190a2a1f6ad99dc04b9 completed March 28, 2026, 9:17 a.m.
Created at: March 27, 2026, 2:40 p.m.