Triple

T11492660
Position Surface form Disambiguated ID Type / Status
Subject Bruce Chatwin E272453 entity
Predicate name P16 FINISHED
Object Bruce Chatwin E272453 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: Bruce Chatwin | Statement: [Bruce Chatwin, name, Bruce Chatwin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bruce Chatwin
Context triple: [Bruce Chatwin, name, Bruce Chatwin]
  • A. Bruce Chatwin chosen
    Bruce Chatwin was a British travel writer and novelist renowned for his innovative, genre-blurring works such as "In Patagonia" and "The Songlines."
  • B. J. A. Chatwin
    J. A. Chatwin was a prominent 19th-century English architect known especially for his church restorations and civic buildings in the Midlands.
  • C. Jonathan Raban
    Jonathan Raban was a British travel writer, novelist, and critic renowned for his reflective, genre-blending works on place, identity, and journey.
  • D. Paul Theroux
    Paul Theroux is an American travel writer and novelist renowned for works such as "The Great Railway Bazaar" and "The Mosquito Coast."
  • E. John Fowles
    John Fowles was an English novelist best known for works such as "The Collector," "The Magus," and "The French Lieutenant's Woman," which blend psychological depth with metafictional and philosophical themes.
  • 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_69d6aae1b09881909ce2ded3fa0c14fa completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d85a21fb048190acb0960aefd4fe0a completed April 10, 2026, 2:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69e624c3691081908f2e448aebab40aa completed April 20, 2026, 1:06 p.m.
Created at: April 8, 2026, 9:36 p.m.