Triple

T20845183
Position Surface form Disambiguated ID Type / Status
Subject Prince Louis of Württemberg E513203 entity
Predicate givenName P17 FINISHED
Object Louis
Louis is a male given name of French and Germanic origin, historically borne by numerous European kings, princes, and nobles.
E447876 NE FINISHED

How this triple was built (4 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: [Prince Louis of Württemberg, givenName, Louis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Louis
Context triple: [Prince Louis of Württemberg, givenName, Louis]
  • A. Louis
    Louis is the given name of Louis Althusser, a prominent 20th-century French Marxist philosopher known for his structuralist interpretation of Marxism.
  • B. Louis
    Louis is the given first name of Lou Piniella, a former Major League Baseball outfielder and World Series–winning manager.
  • C. Louis
    Louis is the given name of Alexandre Louis d'Orléans, a French royal figure from the House of Orléans.
  • D. Louis
    Louis is the given name of Louis Thomas Villaret de Joyeuse, a prominent French admiral during the late 18th and early 19th centuries.
  • E. Louis
    Louis was a French nobleman of the Bourbon-Condé line who held the title of comte de Clermont and was active in 18th-century military and court life.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Louis
Triple: [Prince Louis of Württemberg, givenName, Louis]
Generated description
Louis is a male given name of French and Germanic origin, historically borne by numerous European kings, princes, and nobles.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Louis
Target entity description: Louis is a male given name of French and Germanic origin, historically borne by numerous European kings, princes, and nobles.
  • A. Louis chosen
    Louis is the French form of the given name Luís, historically borne by numerous French kings and notable figures.
  • B. Louis
    Louis is the given name of Alexandre Louis d'Orléans, a French royal figure from the House of Orléans.
  • C. Louis
    Louis is the given name of Napoleon Louis Bonaparte, a short-lived Bonaparte prince who briefly held power in the Netherlands during the early 19th century.
  • D. Louis
    Louis is the given name of Louis II, who served as Grand Duke of Hesse in the 19th century.
  • E. Louis
    Louis is the given name of Louis Thomas Villaret de Joyeuse, a prominent French admiral during the late 18th and early 19th centuries.
  • F. None of above.

Provenance (5 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_69e0b4f4898081908209e58edb8f9c45 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c34ec254819082610264c7af20c8 completed April 21, 2026, 12:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a090b01d11c8190a8ca8e331b2c0936 completed May 17, 2026, 12:25 a.m.
NEDg Description generation batch_6a090bf30e048190a2c81dece02c997d completed May 17, 2026, 12:29 a.m.
NED2 Entity disambiguation (via description) batch_6a090d0d52fc8190aed0a475f3424213 completed May 17, 2026, 12:34 a.m.
Created at: April 16, 2026, 12:43 p.m.