Triple

T7904488
Position Surface form Disambiguated ID Type / Status
Subject Lieutenant Dan Taylor E183537 entity
Predicate comradeOf P2932 FINISHED
Object Bubba Blue E700616 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: Bubba Blue | Statement: [Lieutenant Dan Taylor, comradeOf, Bubba Blue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bubba Blue
Context triple: [Lieutenant Dan Taylor, comradeOf, Bubba Blue]
  • A. Bubba Blue chosen
    Bubba Blue is a character from the film "Forrest Gump," known as Forrest’s shrimp-obsessed army friend who dreams of starting a shrimping business.
  • B. BUBBA
    BUBBA is a critically acclaimed electronic and hip-hop infused dance album by producer KAYTRANADA, known for its smooth grooves, rich collaborations, and innovative production.
  • C. Big Bub
    Big Bub is an American R&B singer and producer known for his work in the 1990s, including production contributions to Brandy’s debut album.
  • D. Bubba Paris
    Bubba Paris is a former American football offensive tackle best known for his NFL career with the San Francisco 49ers, with whom he won multiple Super Bowls in the 1980s.
  • E. Bubba Bexley
    Bubba Bexley is a recurring comedic character and friend of Fred Sanford on the classic American sitcom "Sanford and Son."
  • 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_69ca828d13088190b222be7aa9f9315c completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a4331cc8190b50301c78767a850 completed March 31, 2026, 3:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbdfd2dbbc8190b7b1e45b7f0b7515 completed March 31, 2026, 2:53 p.m.
Created at: March 30, 2026, 5:02 p.m.