Triple

T20055459
Position Surface form Disambiguated ID Type / Status
Subject Peter Russo E499318 entity
Predicate supportedBy P67 FINISHED
Object Frank Underwood 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: Frank Underwood | Statement: [Peter Russo, supportedBy, Frank Underwood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frank Underwood
Context triple: [Peter Russo, supportedBy, Frank Underwood]
  • A. Frank Underwood chosen
    Frank Underwood is a ruthless and cunning American politician who schemes his way to the presidency in the political drama series "House of Cards."
  • B. Francis H. Underwood
    Francis H. Underwood was a 19th-century American editor and literary figure best known for helping to establish and shape the influential magazine The Atlantic Monthly.
  • C. Josiah Bartlet
    Josiah Bartlet is the fictional, intellectually rigorous and idealistic U.S. President at the center of the political drama series "The West Wing."
  • D. Josh Lyman
    Josh Lyman is a sharp, ambitious, and often combative Deputy White House Chief of Staff in the political drama series "The West Wing."
  • E. Ron Underwood
    Ron Underwood is an American film and television director best known for helming the hit comedy "City Slickers" and the cult monster movie "Tremors."
  • 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_69da6276bcf48190aabbf279192a5fb4 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66332b300819097f5dca1636e5822 completed April 20, 2026, 5:32 p.m.
Created at: April 11, 2026, 3:38 p.m.