Triple

T19305247
Position Surface form Disambiguated ID Type / Status
Subject Bryan Greenberg E482809 entity
Predicate name P16 FINISHED
Object Bryan 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: Bryan Greenberg | Statement: [Bryan Greenberg, name, Bryan Greenberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bryan Greenberg
Context triple: [Bryan Greenberg, name, Bryan Greenberg]
  • A. Bryan Greenberg chosen
    Bryan Greenberg is an American actor and singer best known for his roles in television series like "One Tree Hill" and "How to Make It in America," as well as various romantic comedies.
  • B. Matt Greenberg
    Matt Greenberg is a screenwriter and film producer known for his work on various horror and thriller projects in American cinema.
  • C. Kenny Greenberg
    Kenny Greenberg is an American guitarist and record producer known for his extensive work in country and rock music with numerous high-profile artists.
  • D. Josh Weinstock
    Josh Weinstock is a film and television producer known for his work on projects such as the drama "Nightingale."
  • E. 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.
  • 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_69d8e8d04d5c8190baa816986f2b1d1e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e604c744908190975c71a28acc96cc completed April 20, 2026, 10:49 a.m.
Created at: April 10, 2026, 1:31 p.m.