Triple

T8869234
Position Surface form Disambiguated ID Type / Status
Subject Stewart County, Georgia E211104 entity
Predicate namedAfter P63 FINISHED
Object Daniel Stewart E211104 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: Daniel Stewart | Statement: [Stewart County, Georgia, namedAfter, Daniel Stewart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daniel Stewart
Context triple: [Stewart County, Georgia, namedAfter, Daniel Stewart]
  • A. Daniel Stewart chosen
    Daniel Stewart was an American Revolutionary War officer and early Georgia politician and militia leader for whom Stewart County, Georgia, is named.
  • B. Daniel Stewart
    Daniel Stewart is a British actor known for his work in television and theatre and as the son of renowned actor Sir Patrick Stewart.
  • C. Ben Stevens
    Ben Stevens is an American lawyer and former Alaska state senator, best known as the son of longtime U.S. Senator Ted Stevens.
  • D. Dani Stevenson
    Dani Stevenson is an American R&B singer best known for her early-2000s work, including featured and background vocals on popular hip-hop and R&B tracks.
  • E. Stuart Browning
    Stuart Browning is an entrepreneur best known as a co-founder of the software company Embarcadero Technologies.
  • 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_69ca838d3c7c8190a849566d5afd2b11 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc61257a548190955ad71f4c8704d5 completed April 1, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc929fb94819091980b0994b4f02d completed April 3, 2026, 2:05 p.m.
Created at: March 30, 2026, 6:51 p.m.