Triple

T13704153
Position Surface form Disambiguated ID Type / Status
Subject Joel Dorn E328594 entity
Predicate collaboratedWith P435 FINISHED
Object Herbie Mann E479595 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: Herbie Mann | Statement: [Joel Dorn, collaboratedWith, Herbie Mann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Herbie Mann
Context triple: [Joel Dorn, collaboratedWith, Herbie Mann]
  • A. Herbie Mann chosen
    Herbie Mann was an influential American jazz flutist and bandleader known for pioneering the fusion of jazz with world music styles such as Latin, Brazilian, and Middle Eastern music.
  • B. Earl Klugh
    Earl Klugh is an American acoustic guitarist and composer known for his smooth jazz style and melodic, crossover-friendly instrumental recordings.
  • C. Bobby Caldwell
    Bobby Caldwell was an American singer, songwriter, and multi-instrumentalist best known for his smooth blend of R&B, soul, and jazz, particularly the classic hit "What You Won't Do for Love."
  • D. Jimmy Means
    Jimmy Means is a former American NASCAR driver and longtime team owner best known for his underdog presence in the Cup Series during the 1970s and 1980s.
  • E. Hamilton Hodell
    Hamilton Hodell is a prominent London-based talent agency representing high-profile actors and creatives in film, television, and theatre.
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dcad162158819089280ee1e6b5c2cf completed April 13, 2026, 8:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69f79459192c81908132ad9813d69125 completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:54 p.m.