Triple

T839750
Position Surface form Disambiguated ID Type / Status
Subject Cleveland E18149 entity
Predicate hasNotableBearer P458 FINISHED
Object Moses Cleaveland E50032 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: Moses Cleaveland | Statement: [Cleveland, hasNotableBearer, Moses Cleaveland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moses Cleaveland
Context triple: [Cleveland, hasNotableBearer, Moses Cleaveland]
  • A. Moses Cleaveland chosen
    Moses Cleaveland was an American surveyor, lawyer, and politician best known for leading the expedition that established the city of Cleveland, Ohio, in 1796.
  • B. Moses Taylor
    Moses Taylor was a prominent 19th-century American merchant, banker, and railroad executive who became one of the wealthiest men of his era.
  • C. Jacob Bigelow
    Jacob Bigelow was a 19th-century American physician, botanist, and architect known for pioneering the rural cemetery movement and promoting practical science and public health.
  • D. George Burroughs
    George Burroughs was a Puritan minister in colonial New England who was infamously executed for alleged witchcraft during the Salem witch trials.
  • E. Charles Ranlett Flint
    Charles Ranlett Flint was an American financier and industrialist best known for orchestrating mergers that led to the creation of major corporations, including the company that became IBM.
  • 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_69a49389f44881909a608fb27d89f247 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4abe4ab1081909207ae2eec1898d9 completed March 1, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7a3b8c9b081908fd04ac23d45e932 completed March 4, 2026, 3:15 a.m.
Created at: March 1, 2026, 7:38 p.m.