Triple

T19952529
Position Surface form Disambiguated ID Type / Status
Subject Herbie Mann E479595 entity
Predicate name P16 FINISHED
Object Herbie Mann NE NERFINISHED

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: [Herbie Mann, name, Herbie Mann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Herbie Mann
Context triple: [Herbie Mann, name, 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. Alan Balsam
    Alan Balsam is a film editor best known for his work on the comedy sequel "Police Academy 4: Citizens on Patrol."
  • C. Earl Klugh
    Earl Klugh is an American acoustic guitarist and composer known for his smooth jazz style and melodic, crossover-friendly instrumental recordings.
  • D. 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."
  • E. Charlie Weber
    Charlie Weber is an American actor best known for playing Frank Delfino on the television drama series "How to Get Away with Murder."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e522a17c819095165d4d24939fd8 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65a6c87388190a1bada3117acaf7b completed April 20, 2026, 4:55 p.m.
Created at: April 10, 2026, 1:54 p.m.