Triple

T3621912
Position Surface form Disambiguated ID Type / Status
Subject Mama’s Family E76745 entity
Predicate character P662 FINISHED
Object Thelma Harper
Thelma Harper is the sharp-tongued, no-nonsense matriarch at the center of the sitcom "Mama’s Family," known for her quick wit, temper, and old-fashioned values.
 E372996 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: Thelma Harper | Statement: [Mama’s Family, character, Thelma Harper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Thelma Harper
Context triple: [Mama’s Family, character, Thelma Harper]
  • A. Thelma Edwards
    Thelma Edwards was the first wife of famed British World War II flying ace and double amputee Sir Douglas Bader.
  • B. Elsie Mae Gardner
    Elsie Mae Gardner was one of the sisters of famed American actress Ava Gardner, belonging to the same North Carolina family background.
  • C. Thelma Connell
    Thelma Connell was a British film editor known for her work on numerous mid-20th-century films.
  • D. Leola Brown
    Leola Brown was the wife of Oliver Brown, the named plaintiff in the landmark U.S. Supreme Court school desegregation case Brown v. Board of Education.
  • E. Arvilla Knight
    Arvilla Knight was the wife of California Governor Goodwin Knight and served as the state's First Lady during his administration.
  • 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: Thelma Harper
Triple: [Mama’s Family, character, Thelma Harper]
Generated description
Thelma Harper is the sharp-tongued, no-nonsense matriarch at the center of the sitcom "Mama’s Family," known for her quick wit, temper, and old-fashioned values.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Thelma Harper
Target entity description: Thelma Harper is the sharp-tongued, no-nonsense matriarch at the center of the sitcom "Mama’s Family," known for her quick wit, temper, and old-fashioned values.
  • A. Thelma Edwards
    Thelma Edwards was the first wife of famed British World War II flying ace and double amputee Sir Douglas Bader.
  • B. Elsie Mae Gardner
    Elsie Mae Gardner was one of the sisters of famed American actress Ava Gardner, belonging to the same North Carolina family background.
  • C. Thelma Connell
    Thelma Connell was a British film editor known for her work on numerous mid-20th-century films.
  • D. Leola Brown
    Leola Brown was the wife of Oliver Brown, the named plaintiff in the landmark U.S. Supreme Court school desegregation case Brown v. Board of Education.
  • E. Arvilla Knight
    Arvilla Knight was the wife of California Governor Goodwin Knight and served as the state's First Lady during his administration.
  • 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_69ad85dae2fc81908d1ceadbc6af0089 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc2bb12cc8190bd67597cf3b66a3a completed March 8, 2026, 6:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4331e75d08190ad1ce3e7ef26454a completed March 13, 2026, 3:54 p.m.
NEDg Description generation batch_69b436140e9c81909c0616e6fce36c2b completed March 13, 2026, 4:06 p.m.
NED2 Entity disambiguation (via description) batch_69b439c83580819091024e692847a7db completed March 13, 2026, 4:22 p.m.
Created at: March 8, 2026, 3:23 p.m.