Triple

T20215157
Position Surface form Disambiguated ID Type / Status
Subject Twiggs County, Georgia E493599 entity
Predicate namedAfter P63 FINISHED
Object John Twiggs 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 Twiggs | Statement: [Twiggs County, Georgia, namedAfter, John Twiggs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Twiggs
Context triple: [Twiggs County, Georgia, namedAfter, John Twiggs]
  • A. John Twiggs chosen
    John Twiggs was an American Revolutionary War officer and Georgia militia leader after whom Twiggs County, Georgia, is named.
  • B. John Daggett
    John Daggett is a wealthy and unscrupulous Gotham City businessman from the Batman universe, notably appearing as a corporate antagonist in "The Dark Knight Rises."
  • C. Ellwood Kieser
    Ellwood Kieser was an American Catholic priest and television producer best known for creating and producing the long-running religious anthology series "Insight."
  • D. Robert Pike
    Robert Pike was the husband of pioneering American screenwriter and director Frances Marion, one of early Hollywood’s most celebrated film writers.
  • E. Robert Sterling Yard
    Robert Sterling Yard was an American conservationist and writer who played a key role in the early 20th-century movement to protect wilderness areas in the United States.
  • 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_69da6269614c8190bb40475d9d477358 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66ed8cc8c8190889ecadc702010d8 completed April 20, 2026, 6:22 p.m.
Created at: April 11, 2026, 11:38 p.m.