Triple

T10465232
Position Surface form Disambiguated ID Type / Status
Subject Funny Girl E246776 entity
Predicate mainCharacter P1183 FINISHED
Object Barbara Parker
Barbara Parker is the ambitious, quick-witted young woman who rises to stardom as a comedienne and singer in the musical "Funny Girl."
E992215 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: Barbara Parker | Statement: [Funny Girl, mainCharacter, Barbara Parker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barbara Parker
Context triple: [Funny Girl, mainCharacter, Barbara Parker]
  • A. Barbara Tucker
    Barbara Tucker is an American house and dance music singer, songwriter, and choreographer known for her powerful vocals and influential club hits in the 1990s and 2000s.
  • B. Barbara Morse
    Barbara "Bobbi" Morse is a Marvel Comics character known as the superhero and S.H.I.E.L.D. agent Mockingbird.
  • C. Barbara Richardson
    Barbara Richardson is an American public figure best known as the longtime wife and partner of the late New Mexico governor and U.S. diplomat Bill Richardson, with whom she was active in civic and charitable causes.
  • D. Barbara Leeds
    Barbara Leeds was an American actress best known for her film and television work in the mid-20th century.
  • E. Ruth Barrett
    Ruth Barrett is a British composer best known for her evocative scores for film and television dramas.
  • 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: Barbara Parker
Triple: [Funny Girl, mainCharacter, Barbara Parker]
Generated description
Barbara Parker is the ambitious, quick-witted young woman who rises to stardom as a comedienne and singer in the musical "Funny Girl."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Barbara Parker
Target entity description: Barbara Parker is the ambitious, quick-witted young woman who rises to stardom as a comedienne and singer in the musical "Funny Girl."
  • A. Barbara Tucker
    Barbara Tucker is an American house and dance music singer, songwriter, and choreographer known for her powerful vocals and influential club hits in the 1990s and 2000s.
  • B. Barbara Morse
    Barbara "Bobbi" Morse is a Marvel Comics character known as the superhero and S.H.I.E.L.D. agent Mockingbird.
  • C. Barbara Richardson
    Barbara Richardson is an American public figure best known as the longtime wife and partner of the late New Mexico governor and U.S. diplomat Bill Richardson, with whom she was active in civic and charitable causes.
  • D. Barbara Leeds
    Barbara Leeds was an American actress best known for her film and television work in the mid-20th century.
  • E. Ruth Barrett
    Ruth Barrett is a British composer best known for her evocative scores for film and television dramas.
  • 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d50886c2a8819086da6c08356ec6bf completed April 7, 2026, 1:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65e9136bc8190b35685376da7007e completed May 2, 2026, 8:29 p.m.
NEDg Description generation batch_69f660bc541c8190a4d1d7a4cc959ecf completed May 2, 2026, 8:38 p.m.
NED2 Entity disambiguation (via description) batch_69f6617997188190bfce14c54619af7f completed May 2, 2026, 8:41 p.m.
Created at: April 6, 2026, 12:19 p.m.