Triple

T3820178
Position Surface form Disambiguated ID Type / Status
Subject Genius (TV series) E84351 entity
Predicate executiveProducer P7225 FINISHED
Object Anna Culp
Anna Culp is a television producer best known for her executive production work on the biographical anthology series "Genius."
E433890 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 Culp | Statement: [Genius (TV series), executiveProducer, Anna Culp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anna Culp
Context triple: [Genius (TV series), executiveProducer, Anna Culp]
  • A. Emily Woodruff
    Emily Woodruff was the wife of Canadian-American actor Hume Cronyn and is primarily known for her connection to his life and career.
  • B. Joanna Kerns
    Joanna Kerns is an American actress best known for playing the mother, Maggie Seaver, on the 1980s television sitcom "Growing Pains."
  • C. Madeleine Stowe
    Madeleine Stowe is an American actress best known for her film roles in the 1990s, including "The Last of the Mohicans" and "12 Monkeys," and later for her acclaimed television work.
  • D. Molly Messick
    Molly Messick is an American audio producer and journalist known for her work in public radio and podcasting.
  • E. Cate Bauer
    Cate Bauer is a voice actress best known for her role in Disney's animated classic "One Hundred and One Dalmatians."
  • 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 Culp
Triple: [Genius (TV series), executiveProducer, Anna Culp]
Generated description
Anna Culp is a television producer best known for her executive production work on the biographical anthology series "Genius."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Anna Culp
Target entity description: Anna Culp is a television producer best known for her executive production work on the biographical anthology series "Genius."
  • A. Emily Woodruff
    Emily Woodruff was the wife of Canadian-American actor Hume Cronyn and is primarily known for her connection to his life and career.
  • B. Joanna Kerns
    Joanna Kerns is an American actress best known for playing the mother, Maggie Seaver, on the 1980s television sitcom "Growing Pains."
  • C. Madeleine Stowe
    Madeleine Stowe is an American actress best known for her film roles in the 1990s, including "The Last of the Mohicans" and "12 Monkeys," and later for her acclaimed television work.
  • D. Molly Messick
    Molly Messick is an American audio producer and journalist known for her work in public radio and podcasting.
  • E. Cate Bauer
    Cate Bauer is a voice actress best known for her role in Disney's animated classic "One Hundred and One Dalmatians."
  • 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_69aed931f5908190be2c07af66d4df25 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeea61a63c819086e16b89d2ea2157 completed March 9, 2026, 3:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5db641e608190b9d5b190468c501f completed March 14, 2026, 10:04 p.m.
NEDg Description generation batch_69b5dbff26d081909b22ab4e050bb972 completed March 14, 2026, 10:06 p.m.
NED2 Entity disambiguation (via description) batch_69b5dfad9f688190b74ddb2ab4c72496 completed March 14, 2026, 10:22 p.m.
Created at: March 9, 2026, 3:17 p.m.