Triple

T2800480
Position Surface form Disambiguated ID Type / Status
Subject Curry E53140 entity
Predicate hasNotableBearer P458 FINISHED
Object Susan Curry
Susan Curry is a notable individual who shares the surname Curry and has achieved recognition significant enough to be distinguished among others with that name.
 E299957 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 Curry | Statement: [Curry, hasNotableBearer, Susan Curry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Susan Curry
Context triple: [Curry, hasNotableBearer, Susan Curry]
  • A. Denise Curry
    Denise Curry is a former American basketball star and Olympic gold medalist widely regarded as one of UCLA’s greatest women’s players.
  • B. Cheryl Miller
    Cheryl Miller is a legendary American basketball player and coach widely regarded as one of the greatest women’s players in history.
  • C. Sharon Curry
    Sharon Curry is the wife of Michael Bruce Curry, the Presiding Bishop of the Episcopal Church in the United States.
  • D. Teresa Weatherspoon
    Teresa Weatherspoon is a Hall of Fame American basketball player and coach best known as an original WNBA star and defensive standout at point guard.
  • E. Dusty Cohl
    Dusty Cohl was a Canadian film producer and cultural promoter best known for co-founding the Toronto International Film Festival and helping elevate Toronto’s global film profile.
  • 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 Curry
Triple: [Curry, hasNotableBearer, Susan Curry]
Generated description
Susan Curry is a notable individual who shares the surname Curry and has achieved recognition significant enough to be distinguished among others with that name.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Susan Curry
Target entity description: Susan Curry is a notable individual who shares the surname Curry and has achieved recognition significant enough to be distinguished among others with that name.
  • A. Denise Curry
    Denise Curry is a former American basketball star and Olympic gold medalist widely regarded as one of UCLA’s greatest women’s players.
  • B. Cheryl Miller
    Cheryl Miller is a legendary American basketball player and coach widely regarded as one of the greatest women’s players in history.
  • C. Sharon Curry
    Sharon Curry is the wife of Michael Bruce Curry, the Presiding Bishop of the Episcopal Church in the United States.
  • D. Teresa Weatherspoon
    Teresa Weatherspoon is a Hall of Fame American basketball player and coach best known as an original WNBA star and defensive standout at point guard.
  • E. Dusty Cohl
    Dusty Cohl was a Canadian film producer and cultural promoter best known for co-founding the Toronto International Film Festival and helping elevate Toronto’s global film profile.
  • 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_69ab495a90788190941b6917e1eca3a6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abddf4ca9c8190a4adfd1c1373af41 completed March 7, 2026, 8:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc66ad9cc81908af6d3816a840c75 completed March 10, 2026, 7:21 a.m.
NEDg Description generation batch_69afc80ba2148190ae0c1f6425d52dfd completed March 10, 2026, 7:28 a.m.
NED2 Entity disambiguation (via description) batch_69afc97fc45481908aa72ac8607c34ac completed March 10, 2026, 7:34 a.m.
Created at: March 6, 2026, 9:58 p.m.