Triple

T18626203
Position Surface form Disambiguated ID Type / Status
Subject Tomlins E455290 entity
Predicate hasNotableBearer P458 FINISHED
Object Helen Tomlins
Helen Tomlins is a person notable enough to be specifically cited as a bearer of the surname Tomlins.
 E1375161 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: Helen Tomlins | Statement: [Tomlins, hasNotableBearer, Helen Tomlins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Helen Tomlins
Context triple: [Tomlins, hasNotableBearer, Helen Tomlins]
  • A. Helen Melland
    Helen Melland was the wife of British Prime Minister Herbert Henry Asquith and a member of the English upper-middle class in the late 19th century.
  • B. Helen Humes
    Helen Humes was an American jazz and blues singer known for her work with Count Basie’s orchestra and her versatile, swinging vocal style.
  • C. Helen Cherry
    Helen Cherry was a British actress known for her work in film, television, and theatre during the mid-20th century.
  • D. Helen Young
    Helen Young is known as the wife of American actor and director William Allen Young.
  • E. Helen Rosemond
    Helen Rosemond is a fictional character portrayed by Academy Award–winning actress Louise Fletcher.
  • 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: Helen Tomlins
Triple: [Tomlins, hasNotableBearer, Helen Tomlins]
Generated description
Helen Tomlins is a person notable enough to be specifically cited as a bearer of the surname Tomlins.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Helen Tomlins
Target entity description: Helen Tomlins is a person notable enough to be specifically cited as a bearer of the surname Tomlins.
  • A. Helen Melland
    Helen Melland was the wife of British Prime Minister Herbert Henry Asquith and a member of the English upper-middle class in the late 19th century.
  • B. Helen Humes
    Helen Humes was an American jazz and blues singer known for her work with Count Basie’s orchestra and her versatile, swinging vocal style.
  • C. Helen Cherry
    Helen Cherry was a British actress known for her work in film, television, and theatre during the mid-20th century.
  • D. Helen Young
    Helen Young is known as the wife of American actor and director William Allen Young.
  • E. Helen Rosemond
    Helen Rosemond is a fictional character portrayed by Academy Award–winning actress Louise Fletcher.
  • F. None of above. chosen

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_69d8d38cc7948190a55ea64e5638994e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54f04d0cc81909c3c6022c5dfdb63 completed April 19, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0733b49ddc81909157bd26d699a390 completed May 15, 2026, 2:54 p.m.
NEDg Description generation batch_6a073491b60c8190a41a15410e865219 completed May 15, 2026, 2:58 p.m.
NED2 Entity disambiguation (via description) batch_6a073545b2e48190a8cb78cb25785017 completed May 15, 2026, 3:01 p.m.
Created at: April 10, 2026, 11:46 a.m.