Triple

T11378816
Position Surface form Disambiguated ID Type / Status
Subject Josiah Wood Whymper E269537 entity
Predicate familyName P18 FINISHED
Object Whymper E269537 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: Whymper | Statement: [Josiah Wood Whymper, familyName, Whymper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Whymper
Context triple: [Josiah Wood Whymper, familyName, Whymper]
  • A. Frederick Whymper
    Frederick Whymper was a 19th-century British artist and explorer known for his illustrations and depictions of the Canadian West and the Arctic.
  • B. Edward Whymper
    Edward Whymper was a 19th-century English mountaineer and illustrator best known for making the first ascent of the Matterhorn and pioneering climbs in the Alps and Andes.
  • C. Josiah Wood Whymper chosen
    Josiah Wood Whymper was a 19th-century English wood-engraver, illustrator, and artist known for his landscape and natural history illustrations.
  • D. Ledeacker
    Ledeacker is a small village in the Dutch province of North Brabant, now part of the municipality of Land van Cuijk.
  • E. Huskisson
    Huskisson is a small coastal town on the shores of Jervis Bay in New South Wales, Australia, known for its beaches, marine tourism, and access to nearby national parks.
  • 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_69d6aacca1048190b39dbbc2174616fa completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7fc30f5d48190bb273df4c9e583a9 completed April 9, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69e556a10f988190b173dc4880a8c6c6 completed April 19, 2026, 10:26 p.m.
Created at: April 8, 2026, 9:33 p.m.