Triple

T1415370
Position Surface form Disambiguated ID Type / Status
Subject Kobe Bryant E31901 entity
Predicate mother P120 FINISHED
Object Pam Bryant
Pam Bryant is an American woman best known as the mother of the late NBA superstar Kobe Bryant.
 E162897 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: Pam Bryant | Statement: [Kobe Bryant, mother, Pam Bryant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pam Bryant
Context triple: [Kobe Bryant, mother, Pam Bryant]
  • A. Ed Hochuli
    Ed Hochuli is a former National Football League official known for his long tenure, muscular physique, and detailed on-field explanations of penalties.
  • B. Holly Warlick
    Holly Warlick is a former All-American guard and longtime head coach for the University of Tennessee Lady Volunteers women's basketball program.
  • C. 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.
  • D. Emily Drinkard
    Emily Drinkard, better known as Cissy Houston, is an American soul and gospel singer and the mother of Whitney Houston.
  • E. Cheryl Alley
    Cheryl Alley, also known as Cheryl Howard, is an American writer and actress best known as the longtime wife of filmmaker Ron Howard.
  • 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: Pam Bryant
Triple: [Kobe Bryant, mother, Pam Bryant]
Generated description
Pam Bryant is an American woman best known as the mother of the late NBA superstar Kobe Bryant.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pam Bryant
Target entity description: Pam Bryant is an American woman best known as the mother of the late NBA superstar Kobe Bryant.
  • A. Ed Hochuli
    Ed Hochuli is a former National Football League official known for his long tenure, muscular physique, and detailed on-field explanations of penalties.
  • B. Holly Warlick
    Holly Warlick is a former All-American guard and longtime head coach for the University of Tennessee Lady Volunteers women's basketball program.
  • C. 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.
  • D. Emily Drinkard
    Emily Drinkard, better known as Cissy Houston, is an American soul and gospel singer and the mother of Whitney Houston.
  • E. Cheryl Alley
    Cheryl Alley, also known as Cheryl Howard, is an American writer and actress best known as the longtime wife of filmmaker Ron Howard.
  • 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_69a49919a994819086528951bc224775 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c402b1648190b87802d9beb2712e completed March 1, 2026, 10:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69ace5812abc819091894509e9d6bd77 completed March 8, 2026, 2:57 a.m.
NEDg Description generation batch_69ace95beb64819081f6f169c86105fd completed March 8, 2026, 3:13 a.m.
NED2 Entity disambiguation (via description) batch_69ace9bd8fcc8190b25515f2ba1284c0 completed March 8, 2026, 3:15 a.m.
Created at: March 1, 2026, 7:59 p.m.