Triple

T16330574
Position Surface form Disambiguated ID Type / Status
Subject Ni**as in Paris E396539 entity
Predicate writer P1360 FINISHED
Object Bobby Byrd E219168 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: Bobby Byrd | Statement: [Ni**as in Paris, writer, Bobby Byrd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bobby Byrd
Context triple: [Ni**as in Paris, writer, Bobby Byrd]
  • A. Bobby Byrd chosen
    Bobby Byrd was an American R&B and soul singer, songwriter, and bandleader best known as a key collaborator and founding member of James Brown’s backing group, The Famous Flames.
  • B. Bobby Robinson
    Bobby Robinson is a songwriter best known for his work on the song "Honey."
  • C. Bobby Womack
    Bobby Womack was an influential American soul and R&B singer, songwriter, and guitarist known for his emotive vocals and genre-spanning contributions from the 1960s onward.
  • D. Bobby Webster
    Bobby Webster is a professional basketball executive best known for serving as the general manager of the NBA’s Toronto Raptors, helping build the roster that won the 2019 championship.
  • E. Bobby Bland
    Bobby Bland was an influential American blues and soul singer known for his smooth, expressive vocal style and a string of R&B hits from the 1950s through the 1970s.
  • 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_69d87f255b788190a400eba031dd85d8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2c4debef08190a64f13214bfa098f completed April 17, 2026, 11:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00a5047a7c8190bac0ac9888547d16 completed May 10, 2026, 3:32 p.m.
Created at: April 10, 2026, 5:07 a.m.