Triple

T12082697
Position Surface form Disambiguated ID Type / Status
Subject Joy Dirksen Baker E287719 entity
Predicate spouse P13 FINISHED
Object Howard Baker E43288 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: Howard Baker | Statement: [Joy Dirksen Baker, spouse, Howard Baker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Howard Baker
Context triple: [Joy Dirksen Baker, spouse, Howard Baker]
  • A. Howard Baker chosen
    Howard Baker was a prominent Republican U.S. senator from Tennessee who became nationally known for his pivotal role in the Watergate investigation and later served as Senate majority leader and White House chief of staff.
  • B. Howard Baker Sr.
    Howard Baker Sr. was an American lawyer and Republican politician from Tennessee who served in the U.S. House of Representatives in the mid-20th century.
  • C. Jim Wright
    Jim Wright was an American Democratic politician from Texas who served as a powerful congressional leader and later Speaker of the U.S. House of Representatives in the 1980s.
  • 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 major Hollywood productions, including the action thriller "Point Break."
  • 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_69d6ab4964708190850585628b287b0c completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915124e4c8190b0264c2a09e3c2f3 completed April 10, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f66509208190b7206e78df41c2fe completed May 2, 2026, 1:04 p.m.
Created at: April 8, 2026, 9:48 p.m.