Triple

T14329675
Position Surface form Disambiguated ID Type / Status
Subject Abduction E355311 entity
Predicate editedBy P1954 FINISHED
Object Bruce Green E286424 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: Bruce Green | Statement: [Abduction, editedBy, Bruce Green]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bruce Green
Context triple: [Abduction, editedBy, Bruce Green]
  • A. Bruce Green chosen
    Bruce Green is a film editor known for his work on feature films including the 1995 drama "The Basketball Diaries."
  • B. Scott Green
    Scott Green is an American higher-education administrator and business executive who serves as president of the University of Idaho.
  • C. Scott Green
    Scott Green is a former National Football League official best known for serving as a referee in multiple Super Bowls.
  • D. Jeff Greene
    Jeff Greene is a fictional character on the HBO comedy series "Curb Your Enthusiasm," known as Larry David’s affable but often morally flexible manager and best friend.
  • E. Richard Green
    Richard Green was an American boxing referee best known for officiating major heavyweight bouts, including the 1980 title fight between Larry Holmes and Muhammad Ali.
  • 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_69d8278fa2108190bc0d0e7939c1eb03 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8c1def0081908f03cda8e84d20c0 completed April 14, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd46943dac819092f5935d9d312949 completed May 8, 2026, 2:12 a.m.
Created at: April 10, 2026, 1:13 a.m.