Triple

T11214644
Position Surface form Disambiguated ID Type / Status
Subject John Carnegie, 1st Earl of Northesk E265402 entity
Predicate familyName P18 FINISHED
Object Carnegie E229 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: Carnegie | Statement: [John Carnegie, 1st Earl of Northesk, familyName, Carnegie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carnegie
Context triple: [John Carnegie, 1st Earl of Northesk, familyName, Carnegie]
  • A. Carnegie chosen
    Carnegie is a Scottish surname most famously associated with industrialist and philanthropist Andrew Carnegie.
  • B. Swasey
    Swasey is a surname of English origin borne by various notable individuals, including architects, politicians, and academics.
  • C. Carnegie, Pennsylvania
    Carnegie, Pennsylvania is a small borough in Allegheny County near Pittsburgh, historically tied to the region’s steel industry and local immigrant communities.
  • D. Andrew Carnegie Free Library & Music Hall
    The Andrew Carnegie Free Library & Music Hall is a historic cultural complex in Carnegie, Pennsylvania, that combines a public library with a performance venue and community event space.
  • E. Peabody
    Peabody is a suburban city in northeastern Massachusetts known for its location on the North Shore and its historical ties to the leather industry.
  • 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_69d6aac59460819089b9848b27f57848 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8e8eef48190932a85784ce15c86 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e49762e3188190ba3c0e01cf04f6a1 completed April 19, 2026, 8:50 a.m.
Created at: April 8, 2026, 9:30 p.m.