Triple

T17031218
Position Surface form Disambiguated ID Type / Status
Subject Sam Jones E413198 entity
Predicate portrayedBy P1507 FINISHED
Object Ken Berry E381289 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: Ken Berry | Statement: [Sam Jones, portrayedBy, Ken Berry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ken Berry
Context triple: [Sam Jones, portrayedBy, Ken Berry]
  • A. Ken Berry chosen
    Ken Berry was an American actor and dancer best known for his comedic television roles in series such as "F Troop," "Mayberry R.F.D.," and "Mama’s Family."
  • B. Joan Benedict
    Joan Benedict is an American actress known for her work in film and television and for being married to acclaimed actor Rod Steiger.
  • C. Joan Allen
    Joan Allen is an acclaimed American actress known for her versatile performances in film, television, and theater, including prominent roles in dramas and political thrillers.
  • D. Gena Lee Nolin
    Gena Lee Nolin is an American actress and model best known for her role as Neely Capshaw on the television series Baywatch.
  • E. Leslie DeMeuse
    Leslie DeMeuse is an American documentary producer and filmmaker best known for her work in sports and adventure programming and for being married to Disney executive Roy E. Disney.
  • 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_69d886cd18288190b006abab23f811b7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d5d9e7d481909d3d5bd241bd68f1 completed April 18, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01673e1be08190b39c38fd8115a02c completed May 11, 2026, 5:21 a.m.
Created at: April 10, 2026, 5:33 a.m.