Triple

T18733585
Position Surface form Disambiguated ID Type / Status
Subject Houston County, Georgia E458101 entity
Predicate namedAfter P63 FINISHED
Object John Houstoun NE NERFINISHED

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: John Houstoun | Statement: [Houston County, Georgia, namedAfter, John Houstoun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Houstoun
Context triple: [Houston County, Georgia, namedAfter, John Houstoun]
  • A. John Houstoun chosen
    John Houstoun was an American lawyer and politician who served as a governor of Georgia during the late 18th century.
  • B. William A. Guthrie
    William A. Guthrie was an American businessman best known for establishing the influential American Tobacco Company during the late 19th century.
  • C. Archibald H. Gillespie
    Archibald H. Gillespie was a U.S. Marine Corps officer notable for his role in the Mexican–American War, particularly in early California campaigns.
  • D. William G. Robertson
    William G. Robertson was a notable figure associated with Portland, Oregon’s transit or civic development, honored by having the Robertson Tunnel named after him.
  • E. Charles O. Hobaugh
    Charles O. Hobaugh is a retired U.S. Marine Corps colonel and NASA astronaut who flew on multiple Space Shuttle missions in the 2000s.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d393ba9c8190a8b03b04ddbb0a09 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e56d791ab88190b333503f9b1ad0c0 completed April 20, 2026, 12:04 a.m.
Created at: April 10, 2026, 11:51 a.m.