Triple

T14105239
Position Surface form Disambiguated ID Type / Status
Subject Namiko Love Browner E339488 entity
Predicate familyName P18 FINISHED
Object Browner
Browner is a surname most notably associated with Namiko Love Browner, the daughter of R&B singer Jhené Aiko.
 E1080960 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: Browner | Statement: [Namiko Love Browner, familyName, Browner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Browner
Context triple: [Namiko Love Browner, familyName, Browner]
  • A. I-Rod
    I-Rod is the nickname of Iván Rodríguez, a Hall of Fame Major League Baseball catcher renowned for his defensive excellence and strong throwing arm.
  • B. Jay Bias
    Jay Bias was the younger brother of basketball star Len Bias, whose own life and death drew attention due to the tragic parallels with his brother's fate.
  • C. Alomar
    Alomar is a surname most famously associated with Hall of Fame Major League Baseball second baseman Roberto Alomar and his baseball-playing family.
  • D. Terrell
    Terrell is a small city in Kaufman County, Texas, known as an outlying suburb of the Dallas–Fort Worth metropolitan area.
  • E. Terrell
    Terrell is a masculine given name most notably associated with American athletes, particularly in professional football and basketball.
  • 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: Browner
Triple: [Namiko Love Browner, familyName, Browner]
Generated description
Browner is a surname most notably associated with Namiko Love Browner, the daughter of R&B singer Jhené Aiko.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Browner
Target entity description: Browner is a surname most notably associated with Namiko Love Browner, the daughter of R&B singer Jhené Aiko.
  • A. I-Rod
    I-Rod is the nickname of Iván Rodríguez, a Hall of Fame Major League Baseball catcher renowned for his defensive excellence and strong throwing arm.
  • B. Jay Bias
    Jay Bias was the younger brother of basketball star Len Bias, whose own life and death drew attention due to the tragic parallels with his brother's fate.
  • C. Alomar
    Alomar is a surname most famously associated with Hall of Fame Major League Baseball second baseman Roberto Alomar and his baseball-playing family.
  • D. Terrell
    Terrell is a small city in Kaufman County, Texas, known as an outlying suburb of the Dallas–Fort Worth metropolitan area.
  • E. Terrell
    Terrell is a masculine given name most notably associated with American athletes, particularly in professional football and basketball.
  • 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_69d81c69b5c8819094aa1abf18302908 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5fbd02888190bf07fd6d8769b61c completed April 14, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0b48e448190b4fb8cb33e5d97e6 completed May 7, 2026, 5:49 p.m.
NEDg Description generation batch_69fcd288bd5881908f6a442201c5beea completed May 7, 2026, 5:57 p.m.
NED2 Entity disambiguation (via description) batch_69fcd3ad7be8819094fc71c9f44fb4cb completed May 7, 2026, 6:02 p.m.
Created at: April 9, 2026, 10:22 p.m.