Triple

T15855985
Position Surface form Disambiguated ID Type / Status
Subject Charles Napoléon E384456 entity
Predicate familyName P18 FINISHED
Object Bonaparte E73894 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: Bonaparte | Statement: [Charles Napoléon, familyName, Bonaparte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bonaparte
Context triple: [Charles Napoléon, familyName, Bonaparte]
  • A. Bonaparte chosen
    Bonaparte is the prominent Corsican-origin dynasty best known for producing Napoleon Bonaparte and ruling France and parts of Europe in the early 19th century.
  • B. Napoleon
    "Napoleon" is a satirical 1950 Broadway musical with lyrics by E. Y. Harburg that humorously reimagines the life and legacy of Napoleon Bonaparte.
  • C. Napoleon
    Napoleon is an American rapper best known for being a member of Tupac Shakur’s group Outlawz during the 1990s West Coast hip-hop era.
  • D. Napoleón
    Napoleón is a masculine given name of Spanish origin, famously borne by figures such as French emperor Napoleon Bonaparte and various Latin American political leaders.
  • E. Napoleon Bonaparte
    Napoleon Bonaparte was a French military general who rose to become Emperor of the French, dominating European affairs in the early 19th century through his political and military leadership.
  • 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e14cb08bd081908af2120eb2925441 completed April 16, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb03c8cb081908c18c7b2d143c4b4 completed May 9, 2026, 10:07 p.m.
Created at: April 10, 2026, 4:50 a.m.