Triple

T18994863
Position Surface form Disambiguated ID Type / Status
Subject The Soul Sessions E464783 entity
Predicate producer P490 FINISHED
Object Steve Greenberg 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: Steve Greenberg | Statement: [The Soul Sessions, producer, Steve Greenberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steve Greenberg
Context triple: [The Soul Sessions, producer, Steve Greenberg]
  • A. Steve Greenberg
    Steve Greenberg is an American sports media executive and entrepreneur best known for founding the Classic Sports Network, which later became ESPN Classic.
  • B. Steve Greenberg chosen
    Steve Greenberg is a music industry executive and record producer known for discovering and developing successful pop and rock artists.
  • C. Mike Greenberg
    Mike Greenberg is an American television and radio sportscaster best known as a longtime ESPN personality and co-host of popular sports talk shows.
  • D. Michael Greenberg
    Michael Greenberg is a prominent American neuroscientist renowned for his pioneering work on activity-dependent gene expression in the brain.
  • E. Michael Greenberg
    Michael Greenberg is an American businessman best known as the co-founder and longtime executive leader of the global footwear company Skechers.
  • 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_69d8dd01a56c81909694a128c66b21d7 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d680dd2881908a72e732c6b25477 completed April 20, 2026, 7:32 a.m.
Created at: April 10, 2026, 12:01 p.m.