Triple

T5649751
Position Surface form Disambiguated ID Type / Status
Subject Akeem Browder E124472 entity
Predicate familyName P18 FINISHED
Object Browder E115326 NE FINISHED

How this triple was built (2 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: Browder | Statement: [Akeem Browder, familyName, Browder]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Browder
Context triple: [Akeem Browder, familyName, Browder]
  • A. Browder chosen
    Browder is a surname most widely recognized through Kalief Browder, whose wrongful incarceration as a teenager in New York City drew national attention to issues of criminal justice reform and pretrial detention.
  • B. Browder family
    The Browder family is an American family known for their connection to Kalief Browder, whose wrongful incarceration and tragic death drew national attention to issues of criminal justice reform.
  • C. Blakely
    Blakely is a given name and surname of English origin that has become popular as a modern unisex first name.
  • D. Coker
    Coker is a residential and commercial neighborhood located within the Surulere area of Lagos, Nigeria.
  • E. Gossett
    Gossett is the surname of Louis Gossett Jr., the acclaimed American actor known for his roles in "An Officer and a Gentleman" and "Roots."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c00825df388190a58742fa9b1aa33d completed March 22, 2026, 3:17 p.m.
NER Named-entity recognition batch_69c022d2ed648190a5152c8668cbda02 completed March 22, 2026, 5:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d8cea4481908fccb8ed102b18a1 completed March 22, 2026, 8:14 p.m.
Created at: March 22, 2026, 3:42 p.m.