Triple

T1200389
Position Surface form Disambiguated ID Type / Status
Subject The Golden Girls E25767 entity
Predicate creator P184 FINISHED
Object Susan Harris
Susan Harris is an American television writer and producer best known for creating the acclaimed sitcom "The Golden Girls."
 E289200 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: Susan Harris | Statement: [The Golden Girls, creator, Susan Harris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Susan Harris
Context triple: [The Golden Girls, creator, Susan Harris]
  • A. Ann Hearn
    Ann Hearn is an American actress known for her supporting roles in film and television, including an appearance in the legal drama "The Accused."
  • B. Ann Hines
    Ann Hines is known as the spouse of Lonnie Lynn, the late American basketball player and poet who was also the father of rapper and actor Common.
  • C. Lisa Rogers
    Lisa Rogers is a member of the Rogers family, known as the daughter of Canadian businessman and media magnate Ted Rogers.
  • D. Gail Hamilton
    Gail Hamilton was the pen name of 19th-century American author and essayist Mary Abigail Dodge, known for her sharp social commentary and advocacy for women's rights.
  • E. Rosemary Harris
    Rosemary Harris is a British actress acclaimed for her extensive stage and screen career, including a Tony Award win and an Academy Award nomination.
  • 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: Susan Harris
Triple: [The Golden Girls, creator, Susan Harris]
Generated description
Susan Harris is an American television writer and producer best known for creating the acclaimed sitcom "The Golden Girls."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Susan Harris
Target entity description: Susan Harris is an American television writer and producer best known for creating the acclaimed sitcom "The Golden Girls."
  • A. Ann Hearn
    Ann Hearn is an American actress known for her supporting roles in film and television, including an appearance in the legal drama "The Accused."
  • B. Ann Hines
    Ann Hines is known as the spouse of Lonnie Lynn, the late American basketball player and poet who was also the father of rapper and actor Common.
  • C. Lisa Rogers
    Lisa Rogers is a member of the Rogers family, known as the daughter of Canadian businessman and media magnate Ted Rogers.
  • D. Gail Hamilton
    Gail Hamilton was the pen name of 19th-century American author and essayist Mary Abigail Dodge, known for her sharp social commentary and advocacy for women's rights.
  • E. Rosemary Harris
    Rosemary Harris is a British actress acclaimed for her extensive stage and screen career, including a Tony Award win and an Academy Award nomination.
  • 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_69a49429f5ec8190a6a205eb0ae81e5e completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd9ec3488190afe35af54efae5e9 completed March 1, 2026, 10:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69afa0333e40819086d963491946e28b completed March 10, 2026, 4:38 a.m.
NEDg Description generation batch_69afa5cd588c81908e840159281d91fd completed March 10, 2026, 5:02 a.m.
NED2 Entity disambiguation (via description) batch_69afa6ea86b08190a067dcaf65178a85 completed March 10, 2026, 5:06 a.m.
Created at: March 1, 2026, 7:46 p.m.