Triple

T8045314
Position Surface form Disambiguated ID Type / Status
Subject Jean-Christophe, Prince Napoléon E187533 entity
Predicate givenName P17 FINISHED
Object Jean-Christophe E187533 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: Jean-Christophe | Statement: [Jean-Christophe, Prince Napoléon, givenName, Jean-Christophe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jean-Christophe
Context triple: [Jean-Christophe, Prince Napoléon, givenName, Jean-Christophe]
  • A. Jean-Christophe chosen
    Jean-Christophe, Prince Napoléon is a French aristocrat and investment banker recognized as the current head of the former Imperial House of Bonaparte and a claimant to the legacy of Napoleon Bonaparte.
  • B. Jean-Christophe
    Jean-Christophe is the given name of Canadian composer Christophe Beck, known for scoring numerous popular films and television series.
  • C. Émile
    Émile is a French given name most famously borne by the influential 19th-century novelist and social critic Émile Zola.
  • D. Chabert
    Chabert is a surname most notably associated with American actress Lacey Chabert, known for her roles in film, television, and voice acting.
  • E. Julien
    Julien is a given name of French origin commonly used for males in various Francophone and European countries.
  • 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_69ca82b00cb48190b59a300f70e97bd7 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3f4c79388190aecee6e313071a17 completed March 31, 2026, 3:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc5711d2bc8190911f2cade7596be5 completed March 31, 2026, 11:21 p.m.
Created at: March 30, 2026, 5:24 p.m.