Triple

T16814667
Position Surface form Disambiguated ID Type / Status
Subject Pekin, Illinois E408710 entity
Predicate hasNotablePerson P304 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: [Pekin, Illinois, hasNotablePerson, Everett Dirksen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Everett Dirksen
Context triple: [Pekin, Illinois, hasNotablePerson, 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 action thriller "Point Break."
  • E. Howard E. Smith
    Howard E. Smith was a film editor best known for his work on notable movies such as "Strange Days."
  • 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_69d88394566c8190b3dcbdc72935f7fa completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b2e0e05081908bd5eaa64abe133d completed April 18, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b2946ddc81908b1e7c662dc943ff completed May 10, 2026, 4:30 p.m.
Created at: April 10, 2026, 5:23 a.m.