Triple

T16569969
Position Surface form Disambiguated ID Type / Status
Subject Suppression of the Paris Commune E402558 entity
Predicate commander P1061 FINISHED
Object Joseph Vinoy E1111935 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: Joseph Vinoy | Statement: [Suppression of the Paris Commune, commander, Joseph Vinoy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joseph Vinoy
Context triple: [Suppression of the Paris Commune, commander, Joseph Vinoy]
  • A. Joseph Vinoy chosen
    Joseph Vinoy was a French general best known for his role in suppressing the Paris Commune during the bloody week of May 1871.
  • B. Joseph Avenol
    Joseph Avenol was a French diplomat who served as the second Secretary-General of the League of Nations during the turbulent years leading up to World War II.
  • C. Eugene Roche
    Eugene Roche was an American character actor known for his prolific work in film and television, often playing affable or comedic supporting roles.
  • D. Jim Fouché
    Jim Fouché was a South African National Party politician who served as the country’s ceremonial State President from 1968 to 1975.
  • E. Tom Villard
    Tom Villard was an American film and television actor known for his comedic roles in the 1980s, including appearances in movies like "One Crazy Summer" and "My Girl."
  • 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_69d8838648088190acf97ef11fc3f61b completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e359580f548190a21afd148bc22d8d completed April 18, 2026, 10:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0084b077f481909796b5b60f501239 completed May 10, 2026, 1:14 p.m.
Created at: April 10, 2026, 5:16 a.m.