Triple

T17018172
Position Surface form Disambiguated ID Type / Status
Subject Utz E412874 entity
Predicate basedOnWorkAuthor P2806 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: [Utz, basedOnWorkAuthor, Bruce Chatwin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bruce Chatwin
Context triple: [Utz, basedOnWorkAuthor, 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. Elizabeth Chatwin
    Elizabeth Chatwin is best known as the wife and literary executor of British travel writer Bruce Chatwin, helping to preserve and manage his literary legacy.
  • D. Jonathan Raban
    Jonathan Raban was a British travel writer, novelist, and critic renowned for his reflective, genre-blending works on place, identity, and journey.
  • E. Paul Theroux
    Paul Theroux is an American travel writer and novelist renowned for works such as "The Great Railway Bazaar" and "The Mosquito Coast."
  • 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_69d886cc4170819093deddc7b8b4b6a7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d480a58c8190a3912d26debb4311 completed April 18, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a011b4d6cb881909b64b4368fd97fa9 completed May 10, 2026, 11:57 p.m.
Created at: April 10, 2026, 5:33 a.m.