Triple

T1943145
Position Surface form Disambiguated ID Type / Status
Subject Lulu E41999 entity
Predicate diminutiveOf P456 FINISHED
Object Louisa
Louisa is a feminine given name of Germanic origin, related to Louis and commonly shortened to nicknames like Lulu.
 E164603 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: Louisa | Statement: [Lulu, diminutiveOf, Louisa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Louisa
Context triple: [Lulu, diminutiveOf, Louisa]
  • A. Louisa
    Louisa is the middle name of Katharine Louisa Stanley, a 19th-century English writer and member of the prominent Stanley family.
  • B. Margaret
    Margaret is a feminine given name of Greek origin, traditionally associated with the meaning "pearl" and widely used in English-speaking countries.
  • C. Lucy Aikin
    Lucy Aikin was a prominent English historian, biographer, and writer of the late 18th and early 19th centuries, best known for her historical works on the courts of Elizabeth I and James I.
  • D. Louisa Catherine Johnson
    Louisa Catherine Johnson was the British-born wife of John Quincy Adams and First Lady of the United States from 1825 to 1829.
  • E. Agnes
    Agnes is a feminine given name of Greek origin meaning "pure" or "chaste," historically popular in various European cultures and Christian traditions.
  • 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: Louisa
Triple: [Lulu, diminutiveOf, Louisa]
Generated description
Louisa is a feminine given name of Germanic origin, related to Louis and commonly shortened to nicknames like Lulu.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Louisa
Target entity description: Louisa is a feminine given name of Germanic origin, related to Louis and commonly shortened to nicknames like Lulu.
  • A. Louisa chosen
    Louisa is the middle name of Katharine Louisa Stanley, a 19th-century English writer and member of the prominent Stanley family.
  • B. Margaret
    Margaret is a feminine given name of Greek origin, traditionally associated with the meaning "pearl" and widely used in English-speaking countries.
  • C. Lucy Aikin
    Lucy Aikin was a prominent English historian, biographer, and writer of the late 18th and early 19th centuries, best known for her historical works on the courts of Elizabeth I and James I.
  • D. Louisa Catherine Johnson
    Louisa Catherine Johnson was the British-born wife of John Quincy Adams and First Lady of the United States from 1825 to 1829.
  • E. Agnes
    Agnes is a feminine given name of Greek origin meaning "pure" or "chaste," historically popular in various European cultures and Christian traditions.
  • 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_69a8870e08fc8190a319cbf2600db15f completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb2fe04688190aa8461ba090c93a0 completed March 7, 2026, 5:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfbb9b594819096747b580ec18fee completed March 8, 2026, 10:44 p.m.
NEDg Description generation batch_69adfc3d37e4819082673b84eb5a19f2 completed March 8, 2026, 10:46 p.m.
NED2 Entity disambiguation (via description) batch_69adfd7ef5588190ab85f3981466d1e0 completed March 8, 2026, 10:51 p.m.
Created at: March 4, 2026, 7:36 p.m.