Triple

T984306
Position Surface form Disambiguated ID Type / Status
Subject The Judy Garland Show E21244 entity
Predicate producer P490 FINISHED
Object George Schlatter E124333 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 Schlatter | Statement: [The Judy Garland Show, producer, George Schlatter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Schlatter
Context triple: [The Judy Garland Show, producer, George Schlatter]
  • A. George Schlatter chosen
    George Schlatter is an American television producer and director best known for creating and producing the groundbreaking sketch comedy series "Rowan & Martin's Laugh-In."
  • B. Tom Bosley
    Tom Bosley was an American actor best known for playing the warm, paternal Howard Cunningham on the classic television sitcom "Happy Days."
  • C. Don Knotts
    Don Knotts was an American comedic actor best known for his Emmy-winning portrayal of the bumbling deputy Barney Fife on the classic television sitcom "The Andy Griffith Show."
  • D. Eddie Albert
    Eddie Albert was an American actor best known for his roles in film and television, particularly the sitcom "Green Acres" and numerous classic Hollywood movies.
  • E. Norman Lloyd
    Norman Lloyd was an American actor, producer, and director whose career in film, television, and theater spanned more than eight decades.
  • 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_69a493c383dc8190a03257f22d4b4183 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b4959fe48190a78bd811cbc888ab completed March 1, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac4c0bda208190b10b238a30466ea6 completed March 7, 2026, 4:02 p.m.
Created at: March 1, 2026, 7:41 p.m.