Triple

T10323239
Position Surface form Disambiguated ID Type / Status
Subject Suzie Gold E242691 entity
Predicate editedBy P1954 FINISHED
Object Guy Bensley E304842 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: Guy Bensley | Statement: [Suzie Gold, editedBy, Guy Bensley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guy Bensley
Context triple: [Suzie Gold, editedBy, Guy Bensley]
  • A. Guy Bensley chosen
    Guy Bensley is a film editor best known for his work on the comedy spy film "Johnny English Reborn."
  • B. Leo Barnes
    Leo Barnes is a former police sergeant turned security chief who becomes a key resistance figure fighting to end the annual Purge in the dystopian horror-thriller film series.
  • C. Guy Stockwell
    Guy Stockwell was an American film and television actor known for his prolific character roles from the 1950s through the 1980s.
  • D. Christopher Benstead
    Christopher Benstead is a British composer and music editor known for his film scores and sound work on major movies, including collaborations with director Guy Ritchie.
  • E. Kent Bateman
    Kent Bateman is an American film and television producer, director, and actor, best known as the father of actor Jason Bateman and for his work in low-budget and independent productions.
  • 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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d6cdb6cc8190b37ca4494287128b completed April 7, 2026, 10:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69d87e4cdf8881908d613a0cb65fa0c2 completed April 10, 2026, 4:36 a.m.
Created at: April 6, 2026, 11:50 a.m.