Triple

T1763211
Position Surface form Disambiguated ID Type / Status
Subject Maximilian E38703 entity
Predicate hasVariantForm P457 FINISHED
Object Maximilien E202748 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: Maximilien | Statement: [Maximilian, hasVariantForm, Maximilien]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maximilien
Context triple: [Maximilian, hasVariantForm, Maximilien]
  • A. Maximilien chosen
    Maximilien is the given name of Maximilien Robespierre, a leading figure of the French Revolution and key architect of the Reign of Terror.
  • B. Lodewijk Napoleon
    Lodewijk Napoleon was the Dutch name of Louis Bonaparte, the younger brother of Napoleon Bonaparte who ruled as King of Holland from 1806 to 1810.
  • C. Alexandre
    Alexandre is a given name of Greek origin, commonly used in French and Portuguese-speaking countries as a form of Alexander.
  • D. Emmanuel Léopold Guillaume François Marie
    Emmanuel Léopold Guillaume François Marie is a Belgian prince, the second son of King Philippe and Queen Mathilde of Belgium.
  • E. Jérôme Bonaparte
    Jérôme Bonaparte was the youngest brother of Napoleon who became King of Westphalia and later served as a Marshal of France.
  • 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_69a8862d562481908d7025a1c1f67c0d completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa6465245c8190b1ee84628c62c529 completed March 6, 2026, 5:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69adc99dab1c8190802d01ece5fcdd22 completed March 8, 2026, 7:10 p.m.
Created at: March 4, 2026, 7:31 p.m.