Triple

T12533628
Position Surface form Disambiguated ID Type / Status
Subject Greer E299630 entity
Predicate hasNotableBearer P458 FINISHED
Object Bonnie Greer
Bonnie Greer is an American-British playwright, novelist, critic, and broadcaster known for her work on race, feminism, and the arts in the UK.
E1089906 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: Bonnie Greer | Statement: [Greer, hasNotableBearer, Bonnie Greer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bonnie Greer
Context triple: [Greer, hasNotableBearer, Bonnie Greer]
  • A. Bonnie Plunkett
    Bonnie Plunkett is a recovering alcoholic and outspoken single mother who serves as one of the central characters on the sitcom "Mom."
  • B. Bonnie Chalkin
    Bonnie Chalkin is known as the former wife of American actor Judd Hirsch.
  • C. Bonnie Owens
    Bonnie Owens was an American country music singer and songwriter known for her work in the Bakersfield sound and her collaborations with Merle Haggard and Buck Owens.
  • D. Bonnie Arnold
    Bonnie Arnold is an American film producer best known for her work on pioneering computer-animated features such as Toy Story and the How to Train Your Dragon series.
  • E. Bonnie Bartlett
    Bonnie Bartlett is an American actress best known for her Emmy-winning role as Ellen Craig on the television drama "St. Elsewhere."
  • 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: Bonnie Greer
Triple: [Greer, hasNotableBearer, Bonnie Greer]
Generated description
Bonnie Greer is an American-British playwright, novelist, critic, and broadcaster known for her work on race, feminism, and the arts in the UK.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bonnie Greer
Target entity description: Bonnie Greer is an American-British playwright, novelist, critic, and broadcaster known for her work on race, feminism, and the arts in the UK.
  • A. Bonnie Plunkett
    Bonnie Plunkett is a recovering alcoholic and outspoken single mother who serves as one of the central characters on the sitcom "Mom."
  • B. Bonnie Chalkin
    Bonnie Chalkin is known as the former wife of American actor Judd Hirsch.
  • C. Bonnie Owens
    Bonnie Owens was an American country music singer and songwriter known for her work in the Bakersfield sound and her collaborations with Merle Haggard and Buck Owens.
  • D. Bonnie Arnold
    Bonnie Arnold is an American film producer best known for her work on pioneering computer-animated features such as Toy Story and the How to Train Your Dragon series.
  • E. Bonnie Bartlett
    Bonnie Bartlett is an American actress best known for her Emmy-winning role as Ellen Craig on the television drama "St. Elsewhere."
  • 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_69d6ada5cdd48190860d9ce30aff69be completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9546b8fd48190ae90e80785b2e2d1 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd32359c54819098349d7d1c1e454f completed May 8, 2026, 12:45 a.m.
NEDg Description generation batch_69fd335a496881908689b5769bb677ae completed May 8, 2026, 12:50 a.m.
NED2 Entity disambiguation (via description) batch_69fd3445422c8190a22eaa4bef5fdf76 completed May 8, 2026, 12:54 a.m.
Created at: April 8, 2026, 9:57 p.m.