Triple

T5398267
Position Surface form Disambiguated ID Type / Status
Subject Clybourne Park E120709 entity
Predicate character P662 FINISHED
Object Bev
Bev is a central white homeowner in the play "Clybourne Park," whose well-meaning but oblivious attitudes toward race and change highlight the tensions surrounding the sale of her house in a transforming neighborhood.
 E517110 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: Bev | Statement: [Clybourne Park, character, Bev]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bev
Context triple: [Clybourne Park, character, Bev]
  • A. Bever
    Bever is a small river in Germany that serves as one of the tributaries feeding into the Weser.
  • B. Bevin
    Bevin is a surname most notably associated with Ernest Bevin, a prominent British Labour politician and post–World War II Foreign Secretary.
  • C. Bex
    Bex is a common shortened form of the given name Rebecca, often used as a casual or affectionate nickname.
  • D. Beyton
    Beyton is a small rural village and civil parish in the English county of Suffolk, known for its traditional village green and historic buildings.
  • E. Bec
    Bec is a historic Benedictine abbey in Normandy, France, renowned as a major medieval center of learning and monastic reform.
  • 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: Bev
Triple: [Clybourne Park, character, Bev]
Generated description
Bev is a central white homeowner in the play "Clybourne Park," whose well-meaning but oblivious attitudes toward race and change highlight the tensions surrounding the sale of her house in a transforming neighborhood.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bev
Target entity description: Bev is a central white homeowner in the play "Clybourne Park," whose well-meaning but oblivious attitudes toward race and change highlight the tensions surrounding the sale of her house in a transforming neighborhood.
  • A. Bever
    Bever is a small river in Germany that serves as one of the tributaries feeding into the Weser.
  • B. Bevin
    Bevin is a surname most notably associated with Ernest Bevin, a prominent British Labour politician and post–World War II Foreign Secretary.
  • C. Bex
    Bex is a common shortened form of the given name Rebecca, often used as a casual or affectionate nickname.
  • D. Beyton
    Beyton is a small rural village and civil parish in the English county of Suffolk, known for its traditional village green and historic buildings.
  • E. Bec
    Bec is a historic Benedictine abbey in Normandy, France, renowned as a major medieval center of learning and monastic reform.
  • 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_69bd4637b92c8190b815b6443ae4b323 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd87485d5c819096ae574b1badc9d5 completed March 20, 2026, 5:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf337f08088190a3678de0932b8310 completed March 22, 2026, 12:10 a.m.
NEDg Description generation batch_69bf353ad5f88190964cb52320372133 completed March 22, 2026, 12:18 a.m.
NED2 Entity disambiguation (via description) batch_69bf3594f98481909a7671b7dfb2b9e7 completed March 22, 2026, 12:19 a.m.
Created at: March 20, 2026, 2:04 p.m.