Triple

T10811501
Position Surface form Disambiguated ID Type / Status
Subject Senator Joseph Paine E255110 entity
Predicate antagonistOf P18963 FINISHED
Object Jefferson Smith E438027 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: Jefferson Smith | Statement: [Senator Joseph Paine, antagonistOf, Jefferson Smith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jefferson Smith
Context triple: [Senator Joseph Paine, antagonistOf, Jefferson Smith]
  • A. Jefferson Smith chosen
    Jefferson Smith is the idealistic, naive young senator in the classic film "Mr. Smith Goes to Washington," known for his integrity and famous filibuster against political corruption.
  • B. Charlie Sitton
    Charlie Sitton is a former American college basketball standout best known for his All-American career at Oregon State University in the early 1980s.
  • C. Tom Richmond
    Tom Richmond is an American cinematographer known for his work on independent and genre films, including Rob Zombie’s horror movie "House of 1000 Corpses."
  • D. Charlie Ward
    Charlie Ward is a former Florida State University quarterback who won the 1993 Heisman Trophy and later played professional basketball in the NBA.
  • E. Josh Sitton
    Josh Sitton is a former American football guard best known for his Pro Bowl career with the Green Bay Packers in the NFL.
  • 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_69d6aa61c15c8190a1839550c56e75e1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d733b7bfac8190b6ae34144376d6ad completed April 9, 2026, 5:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69e344249f648190b541c7fad7a834f5 completed April 18, 2026, 8:43 a.m.
Created at: April 8, 2026, 9:18 p.m.