Triple

T13645844
Position Surface form Disambiguated ID Type / Status
Subject Brother Jonathan E326098 entity
Predicate depicts P1581 FINISHED
Object Yankee E672635 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: Yankee | Statement: [Brother Jonathan, depicts, Yankee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yankee
Context triple: [Brother Jonathan, depicts, Yankee]
  • A. Yankee chosen
    Yankee is a nickname commonly associated with people from the United States, especially those from the northern states, and is also used as a moniker in various military and sports contexts.
  • B. New England Yankee
    New England Yankee refers to a traditional New Englander of early English colonial descent, often associated with frugality, self-reliance, and a strong regional identity in the northeastern United States.
  • C. Yanks
    Yanks is a 1979 British romantic war drama film set in World War II England that explores relationships between American soldiers and local women.
  • D. Boston Yanks
    The Boston Yanks were a short-lived National Football League team that played in the 1940s before ultimately folding and having their assets merged into other franchises.
  • E. The Yankee
    The Yankee is the nickname of Hank Morgan, the time-traveling 19th-century engineer who becomes a powerful figure in King Arthur’s court in Mark Twain’s novel "A Connecticut Yankee in King Arthur’s Court."
  • 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_69d8076beddc8190a53156f5bea77f5e completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc60635d08190899806fe8936f02a completed April 12, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78af948408190bca7f2e46863391e completed May 3, 2026, 5:50 p.m.
Created at: April 9, 2026, 9:51 p.m.