Triple

T18313647
Position Surface form Disambiguated ID Type / Status
Subject Jules Brunet E438695 entity
Predicate name P16 FINISHED
Object Jules Brunet NE NERFINISHED

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: Jules Brunet | Statement: [Jules Brunet, name, Jules Brunet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jules Brunet
Context triple: [Jules Brunet, name, Jules Brunet]
  • A. Jules Brunet chosen
    Jules Brunet was a French army officer who famously aided the Tokugawa shogunate during Japan’s Boshin War, becoming a key foreign military advisor to the short-lived Ezo Republic.
  • B. Jules Dufaure
    Jules Dufaure was a 19th-century French statesman and moderate republican who played a key role in the early Third Republic, including serving multiple times as head of government.
  • C. Lucien Petit-Breton
    Lucien Petit-Breton was a pioneering early 20th-century French road cyclist best known for his multiple major race victories, including two Tour de France titles.
  • D. Jules Lefebvre
    Jules Lefebvre was a prominent 19th-century French academic painter renowned for his refined portraits and idealized female figures, and for his influential role as a teacher in Paris.
  • E. Gerald Gouriet
    Gerald Gouriet is a composer best known for his work on film and television scores, including the music for the crime drama "L.A. Takedown."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b916a2d081909e249e4902f6aad9 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5021b7e2c81908cd3b6684ab899f6 completed April 19, 2026, 4:26 p.m.
Created at: April 10, 2026, 10:36 a.m.