Triple

T16612609
Position Surface form Disambiguated ID Type / Status
Subject Themetta Suggs E403613 entity
Predicate alsoKnownAs P39 FINISHED
Object Toddy Berry
Toddy Berry is the nickname of Themetta "Toddy" Suggs, best known as the longtime wife of rock and roll pioneer Chuck Berry.
 E1223548 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: Toddy Berry | Statement: [Themetta Suggs, alsoKnownAs, Toddy Berry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Toddy Berry
Context triple: [Themetta Suggs, alsoKnownAs, Toddy Berry]
  • A. Teddy Sears
    Teddy Sears is an American actor known for his television roles in series such as "Masters of Sex," "The Flash," and "American Horror Story."
  • B. Danny Donahue
    Danny Donahue is a central character in the comedy film "Role Models," serving as one of the key figures around whom the story’s mentorship and personal growth themes revolve.
  • C. Mazz Murray
    Mazz Murray is a British stage actress and singer best known for her leading roles in major West End musicals.
  • D. Ben O'Toole
    Ben O'Toole is an Australian actor known for his roles in films such as "Detroit" (2017) and various Australian television and stage productions.
  • E. Toby Leigh
    Toby Leigh is a British individual best known as one of the children of acclaimed film director and screenwriter Mike Leigh.
  • 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: Toddy Berry
Triple: [Themetta Suggs, alsoKnownAs, Toddy Berry]
Generated description
Toddy Berry is the nickname of Themetta "Toddy" Suggs, best known as the longtime wife of rock and roll pioneer Chuck Berry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Toddy Berry
Target entity description: Toddy Berry is the nickname of Themetta "Toddy" Suggs, best known as the longtime wife of rock and roll pioneer Chuck Berry.
  • A. Teddy Sears
    Teddy Sears is an American actor known for his television roles in series such as "Masters of Sex," "The Flash," and "American Horror Story."
  • B. Danny Donahue
    Danny Donahue is a central character in the comedy film "Role Models," serving as one of the key figures around whom the story’s mentorship and personal growth themes revolve.
  • C. Mazz Murray
    Mazz Murray is a British stage actress and singer best known for her leading roles in major West End musicals.
  • D. Ben O'Toole
    Ben O'Toole is an Australian actor known for his roles in films such as "Detroit" (2017) and various Australian television and stage productions.
  • E. Toby Leigh
    Toby Leigh is a British individual best known as one of the children of acclaimed film director and screenwriter Mike Leigh.
  • 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_69d883880d0c81908b5fcd454e767b60 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3609776d48190b6b8c7826ac575c4 completed April 18, 2026, 10:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0075aeaa9881908bdef0f9f2b52e60 completed May 10, 2026, 12:10 p.m.
NEDg Description generation batch_6a007705f57881908b07a20ae8957c64 completed May 10, 2026, 12:16 p.m.
NED2 Entity disambiguation (via description) batch_6a007b18f0b08190a9ddc6ad7358d6b8 completed May 10, 2026, 12:33 p.m.
Created at: April 10, 2026, 5:17 a.m.