Triple

T23090290
Position Surface form Disambiguated ID Type / Status
Subject Adrian Adolph Greenberg E575727 entity
Predicate name P16 FINISHED
Object Adrian Adolph 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: Adrian Adolph Greenberg | Statement: [Adrian Adolph Greenberg, name, Adrian Adolph Greenberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adrian Adolph Greenberg
Context triple: [Adrian Adolph Greenberg, name, Adrian Adolph Greenberg]
  • A. Adrian Adolph Greenberg chosen
    Adrian Adolph Greenberg, professionally known simply as Adrian, was a renowned American costume designer best known for his iconic work in classic Hollywood films such as "The Wizard of Oz."
  • B. Rob Greenberg
    Rob Greenberg is an American screenwriter and television writer-director known for his work on comedy films and TV series.
  • C. Robbie Greenberg
    Robbie Greenberg is an American cinematographer known for his work on feature films and television, including the family adventure movie "Free Willy."
  • D. Ron Greenberg
    Ron Greenberg is an individual known primarily as one of the dedicatees of the artwork "Untitled (to Jan and Ron Greenberg)."
  • E. Jeffrey Greenstein
    Jeffrey Greenstein is a film producer known for his work on action and genre movies, including the war drama "The Outpost."
  • 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_69e245bf3e3c819086d3448720efc01b completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18da99bec81908ecadf8dab10d1b7 completed April 29, 2026, 4:48 a.m.
Created at: April 17, 2026, 3:57 p.m.