Triple

T2450474
Position Surface form Disambiguated ID Type / Status
Subject UCLA Bruins women's basketball team E53690 entity
Predicate notableAlumna P4387 FINISHED
Object Noelle Quinn
Noelle Quinn is a former standout UCLA Bruins guard who became a WNBA player and later head coach of the Seattle Storm.
 E267527 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: Noelle Quinn | Statement: [UCLA Bruins women's basketball team, notableAlumna, Noelle Quinn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Noelle Quinn
Context triple: [UCLA Bruins women's basketball team, notableAlumna, Noelle Quinn]
  • A. Carley Knox
    Carley Knox is a sports executive best known for her leadership role in the WNBA’s Minnesota Lynx organization.
  • B. Mia Dolan
    Mia Dolan is an aspiring actress in Los Angeles and one of the two central protagonists of the musical film "La La Land."
  • C. Molly Greene
    Molly Greene is a relatively obscure individual whose specific public notability is not clearly established from the given information.
  • D. Lacey Pemberton
    Lacey Pemberton is a popular high school girl and one of the central characters in John Green’s novel and film adaptation "Paper Towns."
  • E. Justine Wheeler
    Justine Wheeler is a South African-born artist and studio manager best known for her long-term professional and personal partnership with contemporary artist Jeff Koons.
  • 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: Noelle Quinn
Triple: [UCLA Bruins women's basketball team, notableAlumna, Noelle Quinn]
Generated description
Noelle Quinn is a former standout UCLA Bruins guard who became a WNBA player and later head coach of the Seattle Storm.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Noelle Quinn
Target entity description: Noelle Quinn is a former standout UCLA Bruins guard who became a WNBA player and later head coach of the Seattle Storm.
  • A. Carley Knox
    Carley Knox is a sports executive best known for her leadership role in the WNBA’s Minnesota Lynx organization.
  • B. Mia Dolan
    Mia Dolan is an aspiring actress in Los Angeles and one of the two central protagonists of the musical film "La La Land."
  • C. Molly Greene
    Molly Greene is a relatively obscure individual whose specific public notability is not clearly established from the given information.
  • D. Lacey Pemberton
    Lacey Pemberton is a popular high school girl and one of the central characters in John Green’s novel and film adaptation "Paper Towns."
  • E. Justine Wheeler
    Justine Wheeler is a South African-born artist and studio manager best known for her long-term professional and personal partnership with contemporary artist Jeff Koons.
  • 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_69ab495d227c8190b26ae6548eeb1019 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd0f402b48190b871b2475983af7e completed March 7, 2026, 7:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69aef0c2a7b08190beb27f6a83208e5c completed March 9, 2026, 4:09 p.m.
NEDg Description generation batch_69aef5de0e4c8190af460b7e2fb2a5eb completed March 9, 2026, 4:31 p.m.
NED2 Entity disambiguation (via description) batch_69aef68a6a18819097876fea0120103b completed March 9, 2026, 4:34 p.m.
Created at: March 6, 2026, 9:43 p.m.