Triple

T106703
Position Surface form Disambiguated ID Type / Status
Subject All of Me E2153 entity
Predicate producer P490 FINISHED
Object Dave Tozer E38574 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: Dave Tozer | Statement: [All of Me, producer, Dave Tozer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dave Tozer
Context triple: [All of Me, producer, Dave Tozer]
  • A. Dave Tozer chosen
    Dave Tozer is a Grammy-winning American record producer, songwriter, and musician best known for his extensive work with John Legend and contributions to contemporary R&B and soul music.
  • B. Michael Rogers
    Michael Rogers is a relatively common personal name shared by multiple individuals across fields such as politics, sports, and the arts, rather than referring to one singular widely recognized figure.
  • C. Douglas Kirk
    Douglas Kirk is an individual notable enough to be recognized as a prominent bearer of the surname Kirk.
  • D. Steve Owen
    Steve Owen was a legendary NFL head coach best known for leading the New York Giants for nearly a quarter century and pioneering modern defensive strategies.
  • E. David Simas
    David Simas is an American political strategist and former Obama White House official who serves as a top executive leader at the Obama Foundation.
  • 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_69a24e0a5b7c81908d52da08c60dabc4 completed Feb. 28, 2026, 2:08 a.m.
NER Named-entity recognition batch_69a256cac6d4819083b50c9c9d95e975 completed Feb. 28, 2026, 2:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69a4c66777c481909ac114de5fd336dc completed March 1, 2026, 11:06 p.m.
Created at: Feb. 28, 2026, 2:12 a.m.