Triple

T7880993
Position Surface form Disambiguated ID Type / Status
Subject Ulysses S. Grant administration E182977 entity
Predicate officeHolder P537 FINISHED
Object Columbus Delano E112904 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: Columbus Delano | Statement: [Ulysses S. Grant administration, officeHolder, Columbus Delano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Columbus Delano
Context triple: [Ulysses S. Grant administration, officeHolder, Columbus Delano]
  • A. Columbus Delano chosen
    Columbus Delano was a 19th-century American politician who served as U.S. Secretary of the Interior under President Ulysses S. Grant.
  • B. Louis Tully
    Louis Tully is a nerdy, well-meaning accountant and neighbor of Dana Barrett who becomes a comedic, possessed pawn of Gozer in the Ghostbusters films.
  • C. Joel Sayre
    Joel Sayre was an American novelist, journalist, and screenwriter best known for co-writing the classic 1939 adventure film "Gunga Din."
  • D. Doane Harrison
    Doane Harrison was an American film editor best known for his long collaboration with director Billy Wilder on numerous classic Hollywood films.
  • E. Horace Cleveland
    Horace Cleveland was a prominent 19th-century American landscape architect known for designing parks, cemeteries, and urban green spaces across the United States.
  • 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_69ca828af6e48190a06ee7010d8f0e64 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb39bffbc481908e868ab98a38e10a completed March 31, 2026, 3:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5b8c812481909663119a02f6d756 completed March 31, 2026, 5:28 a.m.
Created at: March 30, 2026, 4:58 p.m.