Triple

T9872947
Position Surface form Disambiguated ID Type / Status
Subject Annie Potts E240001 entity
Predicate portrayed P1668 FINISHED
Object Connie Tucker
Connie Tucker is a fictional character from the television series "Young Sheldon," known as Sheldon's sharp-witted, tough-loving grandmother.
 E826270 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: Connie Tucker | Statement: [Annie Potts, portrayed, Connie Tucker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Connie Tucker
Context triple: [Annie Potts, portrayed, Connie Tucker]
  • A. Connie D'Amico
    Connie D'Amico is a recurring character on the animated TV show Family Guy, known as the popular yet mean-spirited girl at James Woods Regional High School.
  • B. Carrie Beth Van Dyke
    Carrie Beth Van Dyke is an American woman best known as one of the children of legendary actor and comedian Dick Van Dyke.
  • C. Sandy Rogers
    Sandy Rogers is one of the adopted children of American singer, actress, and cowgirl icon Dale Evans and her husband Roy Rogers.
  • D. Patty Dann
    Patty Dann is an American novelist and memoirist best known for writing the coming-of-age novel "Mermaids," which was adapted into a popular 1990 film.
  • E. Marilou York
    Marilou York is an American dental hygienist best known as the longtime wife of actor Mark Hamill.
  • 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: Connie Tucker
Triple: [Annie Potts, portrayed, Connie Tucker]
Generated description
Connie Tucker is a fictional character from the television series "Young Sheldon," known as Sheldon's sharp-witted, tough-loving grandmother.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Connie Tucker
Target entity description: Connie Tucker is a fictional character from the television series "Young Sheldon," known as Sheldon's sharp-witted, tough-loving grandmother.
  • A. Connie D'Amico
    Connie D'Amico is a recurring character on the animated TV show Family Guy, known as the popular yet mean-spirited girl at James Woods Regional High School.
  • B. Carrie Beth Van Dyke
    Carrie Beth Van Dyke is an American woman best known as one of the children of legendary actor and comedian Dick Van Dyke.
  • C. Sandy Rogers
    Sandy Rogers is one of the adopted children of American singer, actress, and cowgirl icon Dale Evans and her husband Roy Rogers.
  • D. Patty Dann
    Patty Dann is an American novelist and memoirist best known for writing the coming-of-age novel "Mermaids," which was adapted into a popular 1990 film.
  • E. Marilou York
    Marilou York is an American dental hygienist best known as the longtime wife of actor Mark Hamill.
  • 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_69ca84e8a0788190b9061811d50fd554 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3f754008190abe3fe034b42908e completed April 2, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1e46f18148190a36af7e7d7487205 completed April 5, 2026, 4:26 a.m.
NEDg Description generation batch_69d1e52132188190ad96780fd75dfa1b completed April 5, 2026, 4:29 a.m.
NED2 Entity disambiguation (via description) batch_69d1e57697a08190a3608f5ad6e306f1 completed April 5, 2026, 4:30 a.m.
Created at: March 30, 2026, 8:37 p.m.