Triple

T1558577
Position Surface form Disambiguated ID Type / Status
Subject François Englert E33265 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 Englert, givenName, François]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: François
Context triple: [François Englert, 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. Philip VI of France
    Philip VI of France was the first king of the Valois dynasty, whose disputed claim to the French throne helped trigger the Hundred Years' War with England.
  • 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_69a885ef9cf48190b0af0f5ce3d02231 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa621102cc81909c5b777a105fc91c completed March 6, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad797907ac81908ede43626798827d completed March 8, 2026, 1:28 p.m.
Created at: March 4, 2026, 7:27 p.m.