Triple

T16013362
Position Surface form Disambiguated ID Type / Status
Subject Sherman County, Texas E388397 entity
Predicate namedAfter P63 FINISHED
Object Sidney Sherman E298694 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: Sidney Sherman | Statement: [Sherman County, Texas, namedAfter, Sidney Sherman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sidney Sherman
Context triple: [Sherman County, Texas, namedAfter, Sidney Sherman]
  • A. Sidney Sherman chosen
    Sidney Sherman was a Texas Revolution officer and politician best known for leading a volunteer regiment at the Battle of San Jacinto and later serving in the Republic of Texas legislature.
  • B. Frank E. Seidman
    Frank E. Seidman was an influential figure in the field of political economy, honored by a distinguished award that bears his name.
  • C. Seymour Platt
    Seymour Platt is the son of Christine Keeler, the British model and showgirl central to the 1960s Profumo affair political scandal.
  • D. John H. Vreeland
    John H. Vreeland was an American lawyer and Republican politician from New Jersey who served as a state senator in the late 19th and early 20th centuries.
  • E. Sidney R. Yates
    Sidney R. Yates was a long-serving U.S. Congressman from Illinois known for his advocacy of the arts, environmental conservation, and social welfare programs.
  • 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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e18292b79881908efac869603c4029 completed April 17, 2026, 12:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00b274fa3481908b019036cd2ae627 completed May 10, 2026, 4:29 p.m.
Created at: April 10, 2026, 4:55 a.m.