Triple

T4642883
Position Surface form Disambiguated ID Type / Status
Subject Brown E101694 entity
Predicate hasNotableBearer P458 FINISHED
Object Chris Brown E186405 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: Chris Brown | Statement: [Brown, hasNotableBearer, Chris Brown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chris Brown
Context triple: [Brown, hasNotableBearer, Chris Brown]
  • A. Chris Brown chosen
    Chris Brown is an American singer, songwriter, dancer, and actor known for his R&B and pop hits as well as his dynamic performances.
  • B. Chris Brown
    Chris Brown is a film producer known for his work on the World War II drama "The Railway Man."
  • C. Ne-Yo
    Ne-Yo is an American R&B singer, songwriter, and record producer known for hits like "So Sick" and for writing songs for numerous major artists.
  • D. Omarion
    Omarion is an American R&B singer, songwriter, and dancer best known as the former lead vocalist of the boy band B2K and for his successful solo career.
  • E. R. Kelly
    R. Kelly is an American R&B singer, songwriter, and record producer known for his influential 1990s and 2000s hits as well as his later criminal convictions for sexual abuse.
  • 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_69bd43d3bc7c81908f81fcf380476b0f completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5a93047c8190990c94fd5a57c867 completed March 20, 2026, 2:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfad80f14819097e022c9d9da17eb completed March 21, 2026, 1:56 a.m.
Created at: March 20, 2026, 1:14 p.m.