Triple

T6322030
Position Surface form Disambiguated ID Type / Status
Subject Katherine Clifton E141765 entity
Predicate spouse P13 FINISHED
Object Geoffrey Clifton E249141 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: Geoffrey Clifton | Statement: [Katherine Clifton, spouse, Geoffrey Clifton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Geoffrey Clifton
Context triple: [Katherine Clifton, spouse, Geoffrey Clifton]
  • A. Geoffrey Clifton chosen
    Geoffrey Clifton is a fictional British explorer and husband of Katherine Clifton in Michael Ondaatje’s novel and its film adaptation, "The English Patient."
  • B. Geoffrey Clayton
    Geoffrey Clayton was an Anglican cleric who served as Archbishop of Cape Town and a leading church figure in South Africa during the mid-20th century.
  • C. Geoffrey Drake
    Geoffrey Drake was a film art director best known for his work on classic mid-20th-century productions such as the war adventure film "The Guns of Navarone."
  • D. Geoffrey Lawrence
    Geoffrey Lawrence was a British judge best known for serving as the presiding judge at the Nuremberg war crimes trials after World War II.
  • E. Geoffrey Will
    Geoffrey Will is the son of prominent American conservative political commentator and columnist George F. Will.
  • 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_69c008d13b8c8190be47d896eb735605 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c064c76dfc8190a1d44fd0c4402a0e completed March 22, 2026, 9:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62d33d70c8190af6acdf5158f9067 completed March 27, 2026, 7:09 a.m.
Created at: March 22, 2026, 4:29 p.m.