Triple

T21105196
Position Surface form Disambiguated ID Type / Status
Subject George Folsey E520021 entity
Predicate name P16 FINISHED
Object George Folsey 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: George Folsey | Statement: [George Folsey, name, George Folsey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Folsey
Context triple: [George Folsey, name, George Folsey]
  • A. George Folsey chosen
    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.
  • B. George Folsey Jr.
    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.
  • C. Coleman Laffoon
    Coleman Laffoon is an American real estate broker and former cameraman best known for his past marriage to actress Anne Heche.
  • D. Douglass Wallop
    Douglass Wallop was an American novelist and playwright best known for co-authoring the baseball-themed musical "Damn Yankees," adapted from his novel "The Year the Yankees Lost the Pennant."
  • E. Floyd Huddleston
    Floyd Huddleston was an American songwriter and lyricist best known for his work on Disney films such as "The Aristocats" and "The Jungle Book."
  • 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_69e0b508d8dc81909be940dafe36c8f7 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e71b6150f08190a3738f1eda7fa834 completed April 21, 2026, 6:38 a.m.
Created at: April 16, 2026, 2:53 p.m.