Triple

T1861864
Position Surface form Disambiguated ID Type / Status
Subject Louis Napoléon, Prince Napoléon E34831 entity
Predicate givenName P17 FINISHED
Object Louis E32075 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: Louis | Statement: [Louis Napoléon, Prince Napoléon, givenName, Louis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Louis
Context triple: [Louis Napoléon, Prince Napoléon, givenName, Louis]
  • A. Louis chosen
    Louis is the given name of Louis Armstrong, the legendary American jazz trumpeter and singer.
  • B. François
    François is the given name of the French poet and essayist Sully Prudhomme, the first recipient of the Nobel Prize in Literature.
  • C. Philip
    Philip is the given first name of Phil Jackson, the legendary NBA coach and former player known for winning multiple championships with the Chicago Bulls and Los Angeles Lakers.
  • D. Philip
    Philip is the given first name of the renowned British actor Basil Rathbone, best known for his definitive film portrayals of Sherlock Holmes.
  • E. Philip
    Philip is a masculine given name of Greek origin meaning "lover of horses," historically borne by various kings, saints, and notable figures.
  • 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_69a88600b2f88190bc09303e68ab517e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abb09e714881909cef0f7e77b5b3b9 completed March 7, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69addf4ecdc08190a264b358d3883f70 completed March 8, 2026, 8:42 p.m.
Created at: March 4, 2026, 7:34 p.m.