Triple

T15940303
Position Surface form Disambiguated ID Type / Status
Subject Louis Orr E386539 entity
Predicate givenName P17 FINISHED
Object Louis
Louis is a masculine given name of French origin that has been widely used by royalty, saints, and notable figures across history.
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: [Louis Orr, givenName, Louis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Louis
Context triple: [Louis Orr, givenName, Louis]
  • A. Louis
    Louis is the friendly, trumpet-playing alligator who dreams of becoming a jazz musician in Disney's animated film "The Princess and the Frog."
  • B. Louis
    Louis is a member of the British royal family, the youngest child of William, Prince of Wales, and Catherine, Princess of Wales.
  • C. Louis
    Louis is the given name of Louis Althusser, a prominent 20th-century French Marxist philosopher known for his structuralist interpretation of Marxism.
  • D. Louis
    Louis is the given name of Louis III, who served as Grand Duke of Hesse in the 19th century.
  • E. Louis
    Louis was the given name of Louis II, Duke of Bavaria, a medieval German nobleman and regional ruler.
  • 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: [Louis Orr, givenName, Louis]
Generated description
Louis is a masculine given name of French origin that has been widely used by royalty, saints, and notable figures across history.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Louis
Target entity description: Louis is a masculine given name of French origin that has been widely used by royalty, saints, and notable figures across history.
  • 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 Louis Armstrong, the legendary American jazz trumpeter and singer.
  • 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 is the given name of Louis II, who served as Grand Duke of Hesse in the 19th century.
  • 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_69d86da750008190987eb26be3f6c118 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156cd3a188190a1a7dcbfdd38284c completed April 16, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5ba070c8190b6af6cb21bddd7f1 completed May 9, 2026, 10:31 p.m.
NEDg Description generation batch_69ffb77a69188190a7b4910a0ce2534c completed May 9, 2026, 10:38 p.m.
NED2 Entity disambiguation (via description) batch_69ffbbcd0a948190972ddf2202faa85b completed May 9, 2026, 10:57 p.m.
Created at: April 10, 2026, 4:53 a.m.