Triple

T11049634
Position Surface form Disambiguated ID Type / Status
Subject The Good Son E261211 entity
Predicate editedBy P1954 FINISHED
Object George Bowers E446499 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: George Bowers | Statement: [The Good Son, editedBy, George Bowers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Bowers
Context triple: [The Good Son, editedBy, George Bowers]
  • A. George Bowers chosen
    George Bowers was an American film editor known for his work on numerous Hollywood movies, including the baseball comedy-drama "A League of Their Own."
  • B. William Bowers
    William Bowers was an American screenwriter known for his sharp, witty scripts in mid-20th-century Hollywood crime films and comedies.
  • C. Richard Bower
    Richard Bower was a 16th-century English musician and court official who directed and trained the boy choristers of the Chapel Royal under the Tudor monarchs.
  • D. Richard Burrell
    Richard Burrell is a British television producer best known for his work as an executive producer on the long-running BBC crime drama series "New Tricks."
  • E. Robert Lister Bower
    Robert Lister Bower was a British colonial administrator and soldier best known for his service in Nigeria during the late 19th and early 20th centuries.
  • 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_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79868c78881908c8e3672c05ae7ec completed April 9, 2026, 12:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69f489b62b808190a3fc89e73e8ae2f7 completed May 1, 2026, 11:08 a.m.
Created at: April 8, 2026, 9:26 p.m.