Triple

T1545439
Position Surface form Disambiguated ID Type / Status
Subject Grey’s Anatomy E32966 entity
Predicate executiveProducer P7225 FINISHED
Object Betsy Beers
Betsy Beers is an American television and film producer best known for her longtime collaboration with Shonda Rhimes on hit series such as Grey’s Anatomy and Scandal.
 E382010 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: Betsy Beers | Statement: [Grey’s Anatomy, executiveProducer, Betsy Beers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Betsy Beers
Context triple: [Grey’s Anatomy, executiveProducer, Betsy Beers]
  • A. Beverly Van Zile
    Beverly Van Zile is best known as the second wife of Apollo 11 astronaut Buzz Aldrin.
  • B. Elizabeth Reaser
    Elizabeth Reaser is an American actress best known for her roles in the Twilight film series and the television drama Grey's Anatomy.
  • C. Mary Alice Beistle
    Mary Alice Beistle was the wife of abstract expressionist painter Mark Rothko and the mother of his two children.
  • D. Virginia Weidler
    Virginia Weidler was an American child actress of the 1930s and 1940s, best remembered for her witty supporting roles in classic Hollywood films such as "The Philadelphia Story."
  • E. Judy Nye
    Judy Nye is known primarily for being the first wife of American media mogul and CNN founder Ted Turner.
  • 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: Betsy Beers
Triple: [Grey’s Anatomy, executiveProducer, Betsy Beers]
Generated description
Betsy Beers is an American television and film producer best known for her longtime collaboration with Shonda Rhimes on hit series such as Grey’s Anatomy and Scandal.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Betsy Beers
Target entity description: Betsy Beers is an American television and film producer best known for her longtime collaboration with Shonda Rhimes on hit series such as Grey’s Anatomy and Scandal.
  • A. Beverly Van Zile
    Beverly Van Zile is best known as the second wife of Apollo 11 astronaut Buzz Aldrin.
  • B. Elizabeth Reaser
    Elizabeth Reaser is an American actress best known for her roles in the Twilight film series and the television drama Grey's Anatomy.
  • C. Mary Alice Beistle
    Mary Alice Beistle was the wife of abstract expressionist painter Mark Rothko and the mother of his two children.
  • D. Virginia Weidler
    Virginia Weidler was an American child actress of the 1930s and 1940s, best remembered for her witty supporting roles in classic Hollywood films such as "The Philadelphia Story."
  • E. Judy Nye
    Judy Nye is known primarily for being the first wife of American media mogul and CNN founder Ted Turner.
  • 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_69a885ed29088190a3c2d5a3d100c16e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90842a4788190a812b48987503624 completed March 5, 2026, 4:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69b4cdaf3ea08190b2663866c984b203 completed March 14, 2026, 2:53 a.m.
NEDg Description generation batch_69b4d182c75081909413b17597c10c0e completed March 14, 2026, 3:09 a.m.
NED2 Entity disambiguation (via description) batch_69b4d20a7fa8819093e8e66ba9272f31 completed March 14, 2026, 3:12 a.m.
Created at: March 4, 2026, 7:26 p.m.