Triple

T517539
Position Surface form Disambiguated ID Type / Status
Subject Kathleen Courtney E10740 entity
Predicate familyName P18 FINISHED
Object Courtney
Courtney is a surname of Irish origin that is also commonly used as a given name.
 E89699 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: Courtney | Statement: [Kathleen Courtney, familyName, Courtney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Courtney
Context triple: [Kathleen Courtney, familyName, Courtney]
  • A. Brooke
    Brooke Astor was a prominent American philanthropist and socialite known for her extensive charitable work in New York City.
  • B. Chloe
    Chloe is the birth name of Nobel Prize–winning American novelist Toni Morrison, renowned for her powerful explorations of African American life and history.
  • C. Kimberly
    Kimberly is a feminine given name of English origin that has been widely used in the United States since the mid-20th century.
  • D. Callie Rivers
    Callie Rivers is a former American professional volleyball player and the daughter of longtime NBA coach Doc Rivers.
  • E. Kiana Williams
    Kiana Williams is an American basketball player best known as a standout point guard and leader for Stanford University's women's basketball team, where she helped guide the Cardinal to an NCAA championship.
  • 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: Courtney
Triple: [Kathleen Courtney, familyName, Courtney]
Generated description
Courtney is a surname of Irish origin that is also commonly used as a given name.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Courtney
Target entity description: Courtney is a surname of Irish origin that is also commonly used as a given name.
  • A. Brooke
    Brooke Astor was a prominent American philanthropist and socialite known for her extensive charitable work in New York City.
  • B. Chloe
    Chloe is the birth name of Nobel Prize–winning American novelist Toni Morrison, renowned for her powerful explorations of African American life and history.
  • C. Kimberly
    Kimberly is a feminine given name of English origin that has been widely used in the United States since the mid-20th century.
  • D. Callie Rivers
    Callie Rivers is a former American professional volleyball player and the daughter of longtime NBA coach Doc Rivers.
  • E. Kiana Williams
    Kiana Williams is an American basketball player best known as a standout point guard and leader for Stanford University's women's basketball team, where she helped guide the Cardinal to an NCAA championship.
  • 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_69a2e84a0d08819087e01863fcd9abf1 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f19d81d48190bd65a02059fc8473 completed Feb. 28, 2026, 1:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69a65e2e20c08190af76454812a0c88b completed March 3, 2026, 4:06 a.m.
NEDg Description generation batch_69a65ef36bac8190806ab440c3bdd6fa completed March 3, 2026, 4:09 a.m.
NED2 Entity disambiguation (via description) batch_69a65f5c0ec88190888d4e8ca3fc04fc completed March 3, 2026, 4:11 a.m.
Created at: Feb. 28, 2026, 1:12 p.m.