Triple

T6730919
Position Surface form Disambiguated ID Type / Status
Subject Dads (TV series) E153630 entity
Predicate mainCharacter P1183 FINISHED
Object Maidie
Maidie is the central character of the television series "Dads," around whom the show's primary storylines and character dynamics revolve.
E615980 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: Maidie | Statement: [Dads (TV series), mainCharacter, Maidie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maidie
Context triple: [Dads (TV series), mainCharacter, Maidie]
  • A. Martha
    Martha is a feminine given name of Aramaic origin, historically borne by notable figures such as Martha Washington, the first First Lady of the United States.
  • B. Edna
    Edna is a tense, intrusive houseguest whose unexpected, prolonged visit heightens the emotional strain and existential unease in Edward Albee’s play "A Delicate Balance."
  • C. Edna
    Edna is a biblical figure from the Book of Tobit, known as the wife of Raguel and mother of Sarah.
  • D. Molly Ockett
    Molly Ockett was a well-known Abenaki healer and folk figure from the 18th–19th century New England region, remembered for her medical skills, generosity, and close relationships with local settlers.
  • E. Nannie
    Nannie is a feminine given name, often used as a diminutive or variant of names like Nancy or Anne.
  • 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: Maidie
Triple: [Dads (TV series), mainCharacter, Maidie]
Generated description
Maidie is the central character of the television series "Dads," around whom the show's primary storylines and character dynamics revolve.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Maidie
Target entity description: Maidie is the central character of the television series "Dads," around whom the show's primary storylines and character dynamics revolve.
  • A. Martha
    Martha is a feminine given name of Aramaic origin, historically borne by notable figures such as Martha Washington, the first First Lady of the United States.
  • B. Edna
    Edna is a tense, intrusive houseguest whose unexpected, prolonged visit heightens the emotional strain and existential unease in Edward Albee’s play "A Delicate Balance."
  • C. Edna
    Edna is a biblical figure from the Book of Tobit, known as the wife of Raguel and mother of Sarah.
  • D. Molly Ockett
    Molly Ockett was a well-known Abenaki healer and folk figure from the 18th–19th century New England region, remembered for her medical skills, generosity, and close relationships with local settlers.
  • E. Nannie
    Nannie is a feminine given name, often used as a diminutive or variant of names like Nancy or Anne.
  • 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_69c6880bdd68819097de8b6099992682 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d16897e48190b43eda2206b14d6a completed March 27, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70b029960819090de37c99e80ceb9 completed March 27, 2026, 10:56 p.m.
NEDg Description generation batch_69c70bf3e2fc8190bc5d044b890ddc02 completed March 27, 2026, 11 p.m.
NED2 Entity disambiguation (via description) batch_69c70cece560819099b488a95a3c79c5 completed March 27, 2026, 11:04 p.m.
Created at: March 27, 2026, 2:09 p.m.