Triple

T12240320
Position Surface form Disambiguated ID Type / Status
Subject David M. Glassman E291711 entity
Predicate workLocation P7 FINISHED
Object Charleston, Illinois E501078 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: Charleston, Illinois | Statement: [David M. Glassman, workLocation, Charleston, Illinois]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charleston, Illinois
Context triple: [David M. Glassman, workLocation, Charleston, Illinois]
  • A. Charleston, Illinois chosen
    Charleston, Illinois is a small city in east-central Illinois best known as the home of Eastern Illinois University and its surrounding college-town community.
  • B. Richmond, Illinois
    Richmond, Illinois is a small village in northern Illinois near the Wisconsin border, known for its historic downtown and rural character.
  • C. Roanoke, Illinois
    Roanoke, Illinois is a small village in Woodford County that forms part of the broader Peoria region in central Illinois.
  • D. Nashville, Illinois
    Nashville, Illinois is a small city in Washington County known as the birthplace of U.S. Supreme Court Justice Harry A. Blackmun.
  • E. Frankfort, Illinois
    Frankfort, Illinois is a suburban village in the Chicago metropolitan area known for its historic downtown and family-oriented community.
  • 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_69d6ab67950c8190be08450a06228c4b completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cb59ce4819099999b8755fb8b98 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe0ccb9c3481908820f7620102e373 completed May 8, 2026, 4:18 p.m.
Created at: April 8, 2026, 9:51 p.m.