Triple

T14016232
Position Surface form Disambiguated ID Type / Status
Subject Spies Like Us E337210 entity
Predicate producer P490 FINISHED
Object George Folsey Jr. E240218 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 Folsey Jr. | Statement: [Spies Like Us, producer, George Folsey Jr.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Folsey Jr.
Context triple: [Spies Like Us, producer, George Folsey Jr.]
  • A. George Folsey Jr. chosen
    George Folsey Jr. is an American film editor and producer known for his work on numerous comedies and genre films, including the 2006 reboot of The Pink Panther.
  • B. George Folsey
    George Folsey was a prominent American cinematographer known for his influential work in Hollywood’s Golden Age and his leadership within the professional cinematography community.
  • C. Roy Hinson
    Roy Hinson is a former American professional basketball player and standout forward from Rutgers University who played several seasons in the NBA during the 1980s.
  • D. Dade Faison
    Dade Faison is one of the children of actor Donald Faison and his former partner Lisa Askey.
  • E. Cedric Yarbrough
    Cedric Yarbrough is an American actor and comedian best known for his roles on the TV series "Reno 911!" and for voicing characters in animated shows such as "The Boondocks."
  • 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_69d81c6543a48190bd5ba93d7419e797 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2f396b648190927e5718c3bb6511 completed April 14, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbacac12608190a5e3d970ec3cda45 completed May 6, 2026, 9:03 p.m.
Created at: April 9, 2026, 10:19 p.m.