Triple

T2474633
Position Surface form Disambiguated ID Type / Status
Subject James McNeill Whistler E55058 entity
Predicate familyName P18 FINISHED
Object Whistler E197063 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: Whistler | Statement: [James McNeill Whistler, familyName, Whistler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Whistler
Context triple: [James McNeill Whistler, familyName, Whistler]
  • A. Whistler chosen
    Whistler was the internal codename used by Microsoft during the development of the Windows XP operating system.
  • B. Banff
    Banff is a historic town in Aberdeenshire, Scotland, known for its coastal setting on the Moray Firth and its well-preserved Georgian architecture.
  • C. Squamish
    Squamish is a town in southwestern British Columbia, Canada, known for its dramatic coastal mountain scenery and outdoor recreation opportunities.
  • D. Yekonyah
    Yekonyah is an alternative name for Jehoiachin, the exiled king of Judah mentioned in the Hebrew Bible.
  • E. Sun Valley
    Sun Valley is a working-class neighborhood in the San Fernando Valley region of Los Angeles known for its industrial areas, residential communities, and proximity to major freeways.
  • 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_69ab49e279e88190ab10d7248aea9d11 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd14b725c81908256c4d3bb6c5173 completed March 7, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69af17a8d87c819084637958a5dc4028 completed March 9, 2026, 6:55 p.m.
Created at: March 6, 2026, 9:45 p.m.