Triple

T2906873
Position Surface form Disambiguated ID Type / Status
Subject Francisco E62786 entity
Predicate hasVariant P455 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: [Francisco, hasVariant, François]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: François
Context triple: [Francisco, hasVariant, 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. 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.
  • D. 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.
  • E. 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.
  • 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_69ab4c3e070c8190b78d3d2c005876dd completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abe0d0628c81909680af2f0db2ecae completed March 7, 2026, 8:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69b05612e79081908c962c2fe2e362d6 completed March 10, 2026, 5:34 p.m.
Created at: March 6, 2026, 10:11 p.m.