Triple

T13073032
Position Surface form Disambiguated ID Type / Status
Subject Versace on the Floor E329500 entity
Predicate writer P1360 FINISHED
Object Jeremy Reeves E835647 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: Jeremy Reeves | Statement: [Versace on the Floor, writer, Jeremy Reeves]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeremy Reeves
Context triple: [Versace on the Floor, writer, Jeremy Reeves]
  • A. Jeremy Reeves chosen
    Jeremy Reeves is an American songwriter and producer best known as a member of the Grammy-winning production team The Stereotypes, recognized for crafting hits for major pop and R&B artists.
  • B. Jeremy Reeves
    Jeremy Reeves is a musician and producer best known as a member of the songwriting and production team Shampoo Press & Curl.
  • C. Ken Reeves
    Ken Reeves is the fictional former professional basketball player who becomes a high school coach in the television drama series "The White Shadow."
  • D. Scott Reed
    Scott Reed is a computer scientist and machine learning researcher known for his work on deep learning and generative models.
  • E. Roger Reeves
    Roger Reeves is an American worker best known as the plaintiff in the landmark U.S. Supreme Court age discrimination case Reeves v. Sanderson Plumbing Products, Inc.
  • 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_69d80771749c81909a6d9197b9504872 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d981160e388190bab942a2ded2903e completed April 10, 2026, 11 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff051bc88190a55c55377a352d3b completed May 3, 2026, 7:53 a.m.
Created at: April 9, 2026, 9 p.m.