Triple

T15964868
Position Surface form Disambiguated ID Type / Status
Subject Kevin Tent E387160 entity
Predicate notableWork P4 FINISHED
Object Citizen Ruth E196812 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: Citizen Ruth | Statement: [Kevin Tent, notableWork, Citizen Ruth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Citizen Ruth
Context triple: [Kevin Tent, notableWork, Citizen Ruth]
  • A. Citizen Ruth chosen
    Citizen Ruth is a 1996 satirical comedy-drama film about abortion politics in America, directed by Alexander Payne and starring Laura Dern as a troubled woman caught between pro-life and pro-choice activists.
  • B. Citizen
    Citizen is a 2001 Tamil-language vigilante action film starring Ajith Kumar, known for its multiple-identity protagonist and social justice theme.
  • C. Miss Ruth
    Miss Ruth is the stage name of Ruth St. Denis, a pioneering American modern dance innovator and co-founder of the Denishawn School.
  • D. Citizen Cohn
    Citizen Cohn is a 1986 television film that dramatizes the controversial life and career of lawyer Roy Cohn, a key figure in the McCarthy era.
  • E. The Nance
    The Nance is a Broadway play by Douglas Carter Beane that explores the life and struggles of a gay burlesque performer in 1930s New York.
  • 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_69d86da94ccc819083d187f5dc6a123e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1572475948190af0e3b12de0f6cea completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe84f4888190b3fdb5f32763f78d completed May 9, 2026, 11:08 p.m.
Created at: April 10, 2026, 4:54 a.m.