Triple

T17747355
Position Surface form Disambiguated ID Type / Status
Subject John Schneider E443021 entity
Predicate birthName P65 FINISHED
Object John Richard Schneider 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: John Richard Schneider | Statement: [John Schneider, birthName, John Richard Schneider]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Richard Schneider
Context triple: [John Schneider, birthName, John Richard Schneider]
  • A. John Schneider
    John Schneider is an American football executive best known as the longtime general manager who helped build the Seattle Seahawks into a Super Bowl–winning team.
  • B. John Schneider chosen
    John Schneider is an American actor best known for his roles in the television series "The Dukes of Hazzard" and "Smallville."
  • C. David Tomlinson
    David Tomlinson was an English actor best known for his comedic roles in classic Disney films such as "Mary Poppins" and "Bedknobs and Broomsticks."
  • D. William Katt
    William Katt is an American actor best known for starring in the 1980s television series "The Greatest American Hero" and appearing in films such as "Carrie."
  • E. Leslie David Baker
    Leslie David Baker is an American actor best known for playing the grumpy salesman Stanley Hudson on the U.S. version of the television series "The Office."
  • 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47ad33160819093c9bbd3c8957314 completed April 19, 2026, 6:48 a.m.
Created at: April 10, 2026, 10:10 a.m.