Triple

T11404539
Position Surface form Disambiguated ID Type / Status
Subject Bess E270201 entity
Predicate portrayedBy P1507 FINISHED
Object Anne Brown
Anne Brown was an American soprano best known for originating the role of Bess in George Gershwin’s opera "Porgy and Bess."
 E1037402 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: Anne Brown | Statement: [Bess, portrayedBy, Anne Brown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Anne Brown
Context triple: [Bess, portrayedBy, Anne Brown]
  • A. Carole Brown
    Carole Brown is the grandmother of LaPrincia Brown, who is known as the daughter of singer Bobby Brown.
  • B. Beth Brown
    Beth Brown is a screenwriter known for her work on the film "Applause."
  • C. Charlotte Brown
    Charlotte Brown was the wife of American politician and former U.S. Secretary of War George Dern.
  • D. Pamela Brown
    Pamela Brown was a British stage and film actress known for her intense character roles in mid-20th-century cinema and theatre.
  • E. Sue Brown
    Sue Brown is a spirited and charming young woman in P. G. Wodehouse’s Blandings Castle stories, notably involved in romantic and comedic entanglements.
  • 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: Anne Brown
Triple: [Bess, portrayedBy, Anne Brown]
Generated description
Anne Brown was an American soprano best known for originating the role of Bess in George Gershwin’s opera "Porgy and Bess."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Anne Brown
Target entity description: Anne Brown was an American soprano best known for originating the role of Bess in George Gershwin’s opera "Porgy and Bess."
  • A. Carole Brown
    Carole Brown is the grandmother of LaPrincia Brown, who is known as the daughter of singer Bobby Brown.
  • B. Beth Brown
    Beth Brown is a screenwriter known for her work on the film "Applause."
  • C. Charlotte Brown
    Charlotte Brown was the wife of American politician and former U.S. Secretary of War George Dern.
  • D. Pamela Brown
    Pamela Brown was a British stage and film actress known for her intense character roles in mid-20th-century cinema and theatre.
  • E. Sue Brown
    Sue Brown is a spirited and charming young woman in P. G. Wodehouse’s Blandings Castle stories, notably involved in romantic and comedic entanglements.
  • 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_69d6aaddeaa8819088b30ef7b50598c9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8014ab46881909fa1d425926c617b completed April 9, 2026, 7:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f72654dc88819095bc1ce23dfee4df completed May 3, 2026, 10:41 a.m.
NEDg Description generation batch_69f727512c94819091985c7942f40b31 completed May 3, 2026, 10:45 a.m.
NED2 Entity disambiguation (via description) batch_69f72b77d650819092c02f6488b2cfb2 completed May 3, 2026, 11:03 a.m.
Created at: April 8, 2026, 9:34 p.m.