Triple

T8968452
Position Surface form Disambiguated ID Type / Status
Subject Louella Carver Dirksen E214198 entity
Predicate spouse P13 FINISHED
Object Everett Dirksen E34724 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: Everett Dirksen | Statement: [Louella Carver Dirksen, spouse, Everett Dirksen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Everett Dirksen
Context triple: [Louella Carver Dirksen, spouse, Everett Dirksen]
  • A. Everett Dirksen chosen
    Everett Dirksen was a prominent mid-20th-century Republican U.S. Senator from Illinois known for his influential leadership and key role in passing major civil rights legislation.
  • B. Lewis Deschler
    Lewis Deschler was a long-serving and influential Parliamentarian of the U.S. House of Representatives, known for his expertise in legislative procedure and rules.
  • C. Harold H. Burton
    Harold H. Burton was an American jurist and politician who served as an Associate Justice of the U.S. Supreme Court from 1945 to 1958.
  • D. Howard E. Smith
    Howard E. Smith is a film editor best known for his work on major Hollywood productions, including the shark thriller "Deep Blue Sea."
  • E. Howard E. Smith
    Howard E. Smith is a film editor best known for his work on the acclaimed drama "Glengarry Glen Ross."
  • 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_69ca839dbf608190a2f5990477115d29 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6764aca48190a5e472d1b6841886 completed April 1, 2026, 12:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd0a753f8819084b952f20997c8d6 completed April 3, 2026, 2:37 p.m.
Created at: March 30, 2026, 7:01 p.m.