Triple

T16006475
Position Surface form Disambiguated ID Type / Status
Subject Joseph Paxton E388232 entity
Predicate spouse P13 FINISHED
Object Sarah Bown E388232 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: Sarah Bown | Statement: [Joseph Paxton, spouse, Sarah Bown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sarah Bown
Context triple: [Joseph Paxton, spouse, Sarah Bown]
  • A. Sarah Bown chosen
    Sarah Bown was the wife of renowned Victorian architect and gardener Sir Joseph Paxton, noted for her role in his personal and family life.
  • B. Rebecca Giblin
    Rebecca Giblin is an Australian legal scholar and advocate specializing in copyright, technology, and creators’ rights, known for her work on how digital platforms affect cultural industries.
  • C. Sarah Vine
    Sarah Vine is a British newspaper columnist and media personality known for her opinion pieces on politics, culture, and lifestyle.
  • D. Maria Cole
    Maria Cole was an American jazz singer and television personality best known as the wife of legendary musician Nat King Cole and the mother of singer Natalie Cole.
  • E. Helen Wick
    Helen Wick is the late wife of legendary hitman John Wick, whose death profoundly motivates his actions in the John Wick film series.
  • 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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e15800246c8190a298c5f96478c396 completed April 16, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf20c5348190b42c2e01e8ef5ea8 completed May 10, 2026, 12:19 a.m.
Created at: April 10, 2026, 4:55 a.m.