Triple

T12017044
Position Surface form Disambiguated ID Type / Status
Subject Ladies E286051 entity
Predicate shortName P43 FINISHED
Object Centenary Ladies
Centenary Ladies is the women's athletic program representing Centenary College of Louisiana in intercollegiate sports.
E286054 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: Centenary Ladies | Statement: [Ladies, shortName, Centenary Ladies]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Centenary Ladies
Context triple: [Ladies, shortName, Centenary Ladies]
  • A. Myra Bairstow
    Myra Bairstow is an art historian, curator, and author known for her work on early 20th-century American art and artists.
  • B. Henrietta Ball
    Henrietta Ball was the wife of Canadian physician and Nobel laureate Frederick Banting, co-discoverer of insulin.
  • C. Ruth Hampden
    Ruth Hampden was a member of the prominent Hampden family of 17th-century England, known primarily as a daughter of the influential parliamentarian John Hampden.
  • D. Margaret Montgomerie
    Margaret Montgomerie was the wife and cousin of Scottish biographer James Boswell, known primarily through her connection to his life and writings.
  • E. Ann Ball
    Ann Ball was the wife of Sir Thomas Bodley, the English diplomat and scholar best known for founding the Bodleian Library at Oxford.
  • 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: Centenary Ladies
Triple: [Ladies, shortName, Centenary Ladies]
Generated description
Centenary Ladies is the women's athletic program representing Centenary College of Louisiana in intercollegiate sports.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Centenary Ladies
Target entity description: Centenary Ladies is the women's athletic program representing Centenary College of Louisiana in intercollegiate sports.
  • A. Centenary Ladies chosen
    The Centenary Ladies are the women's athletic teams representing Centenary College of Louisiana in intercollegiate sports.
  • B. Myra Bairstow
    Myra Bairstow is an art historian, curator, and author known for her work on early 20th-century American art and artists.
  • C. Henrietta Ball
    Henrietta Ball was the wife of Canadian physician and Nobel laureate Frederick Banting, co-discoverer of insulin.
  • D. Ruth Hampden
    Ruth Hampden was a member of the prominent Hampden family of 17th-century England, known primarily as a daughter of the influential parliamentarian John Hampden.
  • E. Margaret Montgomerie
    Margaret Montgomerie was the wife and cousin of Scottish biographer James Boswell, known primarily through her connection to his life and writings.
  • 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_69d6ab45a368819084fce08bf0dc3705 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903d9b17881908894be80d7c1b64e completed April 10, 2026, 2:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f64464a48190a2b96e39ab411115 completed May 2, 2026, 1:04 p.m.
NEDg Description generation batch_69f5fde880f4819094b2170bf4e82138 completed May 2, 2026, 1:36 p.m.
NED2 Entity disambiguation (via description) batch_69f5ffc2cfd08190b87eccd3a73afc77 completed May 2, 2026, 1:44 p.m.
Created at: April 8, 2026, 9:47 p.m.