Triple

T18547416
Position Surface form Disambiguated ID Type / Status
Subject Fritz Howard E453272 entity
Predicate portrayedBy P1507 FINISHED
Object Jon Tenney 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: Jon Tenney | Statement: [Fritz Howard, portrayedBy, Jon Tenney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jon Tenney
Context triple: [Fritz Howard, portrayedBy, Jon Tenney]
  • A. Jon Tenney chosen
    Jon Tenney is an American actor best known for his role as FBI Special Agent Fritz Howard on the television crime drama series "The Closer."
  • B. John O’Hurley
    John O’Hurley is an American actor, comedian, and television personality best known for his role as J. Peterman on "Seinfeld" and for hosting various game and reality shows.
  • C. Allen Ludden
    Allen Ludden was an American television personality and game show host best known for hosting the quiz show "Password."
  • D. Hugh Bennett
    Hugh Bennett was an American film editor active during Hollywood's studio era, known for his work on numerous feature films in the 1930s and 1940s.
  • E. Ross Mathews
    Ross Mathews is an American television personality and comedian known for his bubbly commentary style and appearances on shows like The Tonight Show with Jay Leno, Celebrity Big Brother, and various reality and talk programs.
  • 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_69d8d388b0c881908e610a1c45b52640 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e534bd0614819083e326d5f22c19ac completed April 19, 2026, 8:02 p.m.
Created at: April 10, 2026, 11:38 a.m.