Triple

T5492426
Position Surface form Disambiguated ID Type / Status
Subject Kiss Me, Kate E123731 entity
Predicate setting P1957 FINISHED
Object Baltimore E13094 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: Baltimore | Statement: [Kiss Me, Kate, setting, Baltimore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baltimore
Context triple: [Kiss Me, Kate, setting, Baltimore]
  • A. Baltimore
    Baltimore is a small coastal village in West Cork, Ireland, known for its fishing heritage, sailing, and as a gateway to nearby islands like Sherkin and Cape Clear.
  • B. Baltimore chosen
    Baltimore is a major independent city and seaport in Maryland, United States, known for its historic harbor, diverse neighborhoods, and significant cultural and economic role in the Mid-Atlantic region.
  • C. Jones Falls
    Jones Falls is a significant stream in central Maryland that flows through Baltimore before joining the Patapsco River.
  • D. Owings Mills, Maryland
    Owings Mills, Maryland is a suburban community northwest of Baltimore known for hosting the Baltimore Ravens’ training complex and serving as a regional commercial and residential hub.
  • E. Oakland, Maryland
    Oakland, Maryland is a small town in western Maryland’s Garrett County, known as a gateway to the Appalachian highlands and nearby outdoor recreation areas.
  • 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_69bd464a2d908190869324ce176779c8 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd9280403c8190baaa3f7923449a37 completed March 20, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf8bc6c2d08190b3b83504b7a3fbcb completed March 22, 2026, 6:27 a.m.
Created at: March 20, 2026, 2:10 p.m.