Triple

T8012911
Position Surface form Disambiguated ID Type / Status
Subject Germain Pilon E186537 entity
Predicate name P16 FINISHED
Object Germain Pilon E186537 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: Germain Pilon | Statement: [Germain Pilon, name, Germain Pilon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Germain Pilon
Context triple: [Germain Pilon, name, Germain Pilon]
  • A. Germain Pilon chosen
    Germain Pilon was a prominent 16th-century French sculptor renowned for his expressive funerary monuments and contributions to the French Renaissance style.
  • B. Hubert Dolbeau
    Hubert Dolbeau was a mountaineer known for making the first recorded ascent of Toubkal, the highest peak in the Atlas Mountains and North Africa.
  • C. Adolphe-Basile Routhier
    Adolphe-Basile Routhier was a Canadian judge, author, and poet best known for writing the original French lyrics to Canada’s national anthem, "O Canada."
  • D. Pierre-Émile Martin
    Pierre-Émile Martin was a 19th-century French engineer and metallurgist best known for pioneering advances in steelmaking technology.
  • E. Marcel Desautels
    Marcel Desautels was a Canadian lawyer, businessman, and philanthropist best known for his major contributions to higher education and business schools in Canada.
  • 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_69ca82abaffc8190ab8af79cdbc31ab3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3d73bf048190ad8066a7e95c34b0 completed March 31, 2026, 3:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63c1f76881909ad6d7777090f2e2 completed April 1, 2026, 12:16 a.m.
Created at: March 30, 2026, 5:19 p.m.