Triple

T10080402
Position Surface form Disambiguated ID Type / Status
Subject Lewis County, New York E213884 entity
Predicate namedAfter P63 FINISHED
Object Morgan Lewis E475883 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: Morgan Lewis | Statement: [Lewis County, New York, namedAfter, Morgan Lewis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Morgan Lewis
Context triple: [Lewis County, New York, namedAfter, Morgan Lewis]
  • A. Morgan Lewis chosen
    Morgan Lewis was an American lawyer, military officer, and politician who served as Governor of New York in the early 19th century.
  • B. Morgan, Lewis & Bockius
    Morgan, Lewis & Bockius is a major international law firm headquartered in the United States, known for its broad corporate, litigation, labor, and regulatory practices.
  • C. Wheeler Williams
    Wheeler Williams was an American sculptor known for his public monuments and architectural sculpture in the mid-20th century.
  • D. King & Spalding
    King & Spalding is a prominent international law firm headquartered in Atlanta, known for its work in litigation, regulatory, and corporate matters.
  • E. O'Melveny & Myers
    O'Melveny & Myers is a major international law firm headquartered in Los Angeles, known for its work in litigation, corporate transactions, and regulatory matters.
  • 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_69ca839bf730819086900c323c9b8c95 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd032ef288190a961d266d9ecafbc completed April 2, 2026, 2:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b660987c8190a6a29d9e56acbff7 completed April 5, 2026, 7:22 p.m.
Created at: March 30, 2026, 9 p.m.