Triple

T9324721
Position Surface form Disambiguated ID Type / Status
Subject François Barre E224357 entity
Predicate givenName P17 FINISHED
Object François E41603 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: François | Statement: [François Barre, givenName, François]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: François
Context triple: [François Barre, givenName, François]
  • A. François chosen
    François is the given name of the French poet and essayist Sully Prudhomme, the first recipient of the Nobel Prize in Literature.
  • B. Charles de France
    Charles de France, better known as Charles, Duke of Berry, was a French prince of the Bourbon dynasty and younger son of King Charles X of France.
  • C. Édouard
    Édouard is the French form of the given name Edward, commonly used in French-speaking countries.
  • D. Louis V of France
    Louis V of France was the last Carolingian king of West Francia, whose death without an heir paved the way for Hugh Capet and the rise of the Capetian dynasty.
  • E. Louis-Auguste
    Louis-Auguste was the given name of Louis-Auguste de Bourbon, Duke of Maine, an illegitimate but later legitimized son of King Louis XIV of France and Madame de Montespan.
  • 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_69ca8426d48481909596360f7791c7dd completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd36f77c808190aa5489c4305fd67d completed April 1, 2026, 3:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0c7e13d108190bc3409cf5608d9ad completed April 4, 2026, 8:12 a.m.
Created at: March 30, 2026, 7:38 p.m.