Triple

T22914662
Position Surface form Disambiguated ID Type / Status
Subject Dooly County, Georgia E568698 entity
Predicate namedAfter P63 FINISHED
Object John Dooly 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 Dooly | Statement: [Dooly County, Georgia, namedAfter, John Dooly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Dooly
Context triple: [Dooly County, Georgia, namedAfter, John Dooly]
  • A. John Dooly chosen
    John Dooly was an American Revolutionary War officer and Georgia patriot after whom Dooly County, Georgia, is named.
  • B. Joseph McCasland
    Joseph McCasland is a film editor known for his work on the comedy movie "Drunk Parents."
  • C. Tom Muldoon
    Tom Muldoon is a film editor known for his work on major Hollywood productions, including the action blockbuster "Transformers: Revenge of the Fallen."
  • D. George Meehan
    George Meehan was a cinematographer best known for helping establish the American Society of Cinematographers, a leading professional organization for film camerawork.
  • E. Willie Conway
    Willie Conway is the introspective, small-town piano player and central figure in the 1996 ensemble film "Beautiful Girls," who returns home for a high school reunion and confronts questions about love, maturity, and commitment.
  • 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_69e2458d90c88190a58cead4e781ca6a completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18078077881908b8124cc22110c6e completed April 29, 2026, 3:52 a.m.
Created at: April 17, 2026, 3:42 p.m.