Triple

T10188965
Position Surface form Disambiguated ID Type / Status
Subject You Can Count on Me E237982 entity
Predicate starring P1507 FINISHED
Object Jon Tenney E125626 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: Jon Tenney | Statement: [You Can Count on Me, starring, Jon Tenney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jon Tenney
Context triple: [You Can Count on Me, starring, 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. Allen Ludden
    Allen Ludden was an American television personality and game show host best known for hosting the quiz show "Password."
  • C. John Bishop
    John Bishop is an English stand-up comedian, actor, and television presenter known for his energetic storytelling style and appearances on British panel shows and dramas.
  • D. John Bishop
    John Bishop is the son of Maurice Bishop, the revolutionary leader and former Prime Minister of Grenada.
  • E. Mike Marvin
    Mike Marvin is an American screenwriter and filmmaker best known for writing the 1982 comedy film "Six Pack" and directing the 1986 cult action film "The Wraith."
  • 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_69ca84de1b208190bf17bb305b002605 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cded7c3278819093312665b54d888c completed April 2, 2026, 4:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69d317b734a4819085645caea8ba0481 completed April 6, 2026, 2:17 a.m.
Created at: March 30, 2026, 9:12 p.m.