Triple

T13140182
Position Surface form Disambiguated ID Type / Status
Subject Charles Carson E312190 entity
Predicate closeColleague P11349 FINISHED
Object John Bates E322673 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: John Bates | Statement: [Charles Carson, closeColleague, John Bates]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Bates
Context triple: [Charles Carson, closeColleague, John Bates]
  • A. John Bates chosen
    John Bates is a central valet and later estate manager in the British period drama series "Downton Abbey," known for his loyalty, quiet strength, and complex personal struggles.
  • B. John Bates
    John Bates is a fictional character who appears in D. H. Lawrence’s short story "Odour of Chrysanthemums," contributing to its exploration of working-class life and emotional estrangement.
  • C. Russell Sage
    Russell Sage was a 19th-century American financier, railroad executive, and politician known for his immense wealth and later philanthropic legacy.
  • D. Henry Wells
    Henry Wells was a 19th-century American businessman and express pioneer who co-founded both American Express and Wells Fargo.
  • E. Roger W. Babson
    Roger W. Babson was an American entrepreneur, economist, and business theorist known for his influential market forecasts and for establishing educational and financial institutions.
  • 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_69d806aabde48190899e13e41659cae5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d981b84f1081908b9e2d54a64d4c2d completed April 10, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eae2c3848190b062fa8da7dc8a92 completed May 3, 2026, 6:27 a.m.
Created at: April 9, 2026, 9:09 p.m.