Triple

T3275340
Position Surface form Disambiguated ID Type / Status
Subject All of Me E68743 entity
Predicate featuresArtist P1952 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: [All of Me, featuresArtist, Chris Brown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chris Brown
Context triple: [All of Me, featuresArtist, Chris Brown]
  • A. Chris Brown
    Chris Brown is a film producer known for his work on the World War II drama "The Railway Man."
  • B. 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.
  • 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_69ad859b54f881909bf530d549caf2fd completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0110f1c8190ae60708b686cbbf9 completed March 8, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e8462a0c8190aba2330da6c49ecf completed March 12, 2026, 4:22 p.m.
Created at: March 8, 2026, 3:10 p.m.