Triple

T15982617
Position Surface form Disambiguated ID Type / Status
Subject Molly Evangeline Goodman E387611 entity
Predicate mother P120 FINISHED
Object Anna Beth Goodman
Anna Beth Goodman is an American businesswoman and the wife of actor John Goodman, known for running a children’s clothing line in New Orleans.
E1188697 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: Anna Beth Goodman | Statement: [Molly Evangeline Goodman, mother, Anna Beth Goodman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anna Beth Goodman
Context triple: [Molly Evangeline Goodman, mother, Anna Beth Goodman]
  • A. Rachel Leibowitz
    Rachel Leibowitz is a person notable enough to be specifically cited as a bearer of the surname Leibowitz.
  • B. Beverly Goldberg
    Beverly Goldberg is the overbearing yet loving 1980s matriarch from the TV sitcom "The Goldbergs," known for her smothering parenting style and bold personality.
  • C. Gloria Nathanson
    Gloria Nathanson was the wife of American novelist and poet Robert Nathan.
  • D. Devorah Baron
    Devorah Baron was a pioneering Hebrew writer and one of the first prominent female authors in modern Hebrew literature.
  • E. Nina Loeb
    Nina Loeb was an American socialite and member of the prominent Loeb banking family who married financier and Federal Reserve pioneer Paul Warburg.
  • 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: Anna Beth Goodman
Triple: [Molly Evangeline Goodman, mother, Anna Beth Goodman]
Generated description
Anna Beth Goodman is an American businesswoman and the wife of actor John Goodman, known for running a children’s clothing line in New Orleans.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Anna Beth Goodman
Target entity description: Anna Beth Goodman is an American businesswoman and the wife of actor John Goodman, known for running a children’s clothing line in New Orleans.
  • A. Rachel Leibowitz
    Rachel Leibowitz is a person notable enough to be specifically cited as a bearer of the surname Leibowitz.
  • B. Beverly Goldberg
    Beverly Goldberg is the overbearing yet loving 1980s matriarch from the TV sitcom "The Goldbergs," known for her smothering parenting style and bold personality.
  • C. Gloria Nathanson
    Gloria Nathanson was the wife of American novelist and poet Robert Nathan.
  • D. Devorah Baron
    Devorah Baron was a pioneering Hebrew writer and one of the first prominent female authors in modern Hebrew literature.
  • E. Nina Loeb
    Nina Loeb was an American socialite and member of the prominent Loeb banking family who married financier and Federal Reserve pioneer Paul Warburg.
  • 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_69d86da94ccc819083d187f5dc6a123e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e15755b5548190acfa29eecb11e675 completed April 16, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3cb0ed48190b35c19f3961f183b completed May 9, 2026, 11:31 p.m.
NEDg Description generation batch_69ffc5f664148190a1f400c28d31cafe completed May 9, 2026, 11:40 p.m.
NED2 Entity disambiguation (via description) batch_69ffc6f9b4f4819092600165241377f6 completed May 9, 2026, 11:44 p.m.
Created at: April 10, 2026, 4:54 a.m.