Triple

T1811637
Position Surface form Disambiguated ID Type / Status
Subject Arago E40344 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: [Arago, givenName, François]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: François
Context triple: [Arago, 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. Édouard
    Édouard is the French form of the given name Edward, commonly used in French-speaking countries.
  • C. Philip II of France
    Philip II of France was the Capetian king who greatly expanded French royal power and territory in the late 12th and early 13th centuries, notably at the expense of the English crown.
  • D. Philip V of France
    Philip V of France was a Capetian king who ruled France and Navarre in the early 14th century, noted for consolidating royal authority and navigating succession crises that shaped the French monarchy.
  • E. Philippe de France
    Philippe de France was a 17th-century French prince, the younger brother of King Louis XIV, who held the title Duke of Orléans and played a significant role in the politics and court life of the Ancien Régime.
  • 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_69a88643a3388190a612f2ebe1fb29e7 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa65c64bc08190b993216890752b46 completed March 6, 2026, 5:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3c192f08190a1a134e541be1103 completed March 8, 2026, 10:10 p.m.
Created at: March 4, 2026, 7:32 p.m.