Triple

T7744641
Position Surface form Disambiguated ID Type / Status
Subject Aloysius E175595 entity
Predicate isLatinizedFormOf P45453 FINISHED
Object Louis
Louis is a traditional given name of French and Germanic origin, historically borne by numerous kings of France and other European nobility.
 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: [Aloysius, isLatinizedFormOf, Louis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Louis
Context triple: [Aloysius, isLatinizedFormOf, 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 family name of Spyridon Louis, the Greek runner who won the first modern Olympic marathon in 1896.
  • C. Louis
    Louis is the given name of Louis Armstrong, the legendary American jazz trumpeter and singer.
  • D. Louis
    Louis is the middle name of legendary American baseball player Hank Aaron, one of Major League Baseball’s greatest hitters.
  • E. Louis
    Louis is the given name of Louis Sullivan, the influential American architect often called the “father of skyscrapers.”
  • 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: [Aloysius, isLatinizedFormOf, Louis]
Generated description
Louis is a traditional given name of French and Germanic origin, historically borne by numerous kings of France and other European nobility.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Louis
Target entity description: Louis is a traditional given name of French and Germanic origin, historically borne by numerous kings of France and other European nobility.
  • 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 a member of the British royal family, the youngest child of William, Prince of Wales, and Catherine, Princess of Wales.
  • 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 middle name of legendary American baseball player Hank Aaron, one of Major League Baseball’s greatest hitters.
  • 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_69c69960b3588190a53aa590d31d9544 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c70389e9548190a57b5370f4b9fee9 completed March 27, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8be4cdb148190af3ebaf9ac35b641 completed March 29, 2026, 5:53 a.m.
NEDg Description generation batch_69c8c41b2880819097962e23bbc0262b completed March 29, 2026, 6:18 a.m.
NED2 Entity disambiguation (via description) batch_69c8c47c421c8190ab22fc852f52beb8 completed March 29, 2026, 6:19 a.m.
Created at: March 27, 2026, 4:07 p.m.