Triple

T9523228
Position Surface form Disambiguated ID Type / Status
Subject Louis Lipsett E229695 entity
Predicate givenName P17 FINISHED
Object Louis
Louis is a masculine given name of French origin that has been widely used across Europe and the Americas, often associated with royalty and historical figures.
 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 Lipsett, givenName, Louis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Louis
Context triple: [Louis Lipsett, 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 the given name of Louis Althusser, a prominent 20th-century French Marxist philosopher known for his structuralist interpretation of Marxism.
  • 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 Sullivan, the influential American architect often called the “father of skyscrapers.”
  • E. Louis
    Louis is the family name of Spyridon Louis, the Greek runner who won the first modern Olympic marathon in 1896.
  • 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 Lipsett, givenName, Louis]
Generated description
Louis is a masculine given name of French origin that has been widely used across Europe and the Americas, often associated with royalty and historical figures.
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 across Europe and the Americas, often associated with royalty and historical figures.
  • 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 Louis Armstrong, the legendary American jazz trumpeter and singer.
  • 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 Ernest Louis, who was the last Grand Duke of Hesse and a notable German noble of the late 19th and early 20th centuries.
  • E. Louis
    Louis is the given name of Armand Hippolyte Louis Fizeau, a 19th-century French physicist known for pioneering measurements of the speed of light.
  • 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_69ca847870a881909d8d751a7d29da39 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9898e0b48190a3e3f0f1616d5055 completed April 1, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69d139ece5bc81908956e1f7ecbb1aa4 completed April 4, 2026, 4:18 p.m.
NEDg Description generation batch_69d13ac6f1588190aeed532a0e2b9a68 completed April 4, 2026, 4:22 p.m.
NED2 Entity disambiguation (via description) batch_69d13b3ab700819081cdb79450410b97 completed April 4, 2026, 4:24 p.m.
Created at: March 30, 2026, 7:59 p.m.