Triple

T10810260
Position Surface form Disambiguated ID Type / Status
Subject Charles Coburn E255078 entity
Predicate familyName P18 FINISHED
Object Coburn E129566 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: Coburn | Statement: [Charles Coburn, familyName, Coburn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Coburn
Context triple: [Charles Coburn, familyName, Coburn]
  • A. Coburn chosen
    Coburn is a surname and given name that serves as an alternative spelling of Cockburn, borne by various notable individuals in politics, entertainment, and other fields.
  • B. Crapo
    Crapo is the middle name of William C. Durant, the American industrialist who co-founded General Motors and Chevrolet.
  • C. Arlen
    Arlen is a given name most notably borne by Arlen Specter, a long-serving United States Senator from Pennsylvania.
  • D. Kassebaum
    Kassebaum is the surname most prominently associated with Nancy Kassebaum, a former United States senator from Kansas known for her moderate Republican views and bipartisan work.
  • E. Dirksen
    Dirksen is a surname most notably associated with Everett Dirksen, a prominent mid-20th-century American politician and U.S. Senate Minority Leader.
  • 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_69d6aa61c15c8190a1839550c56e75e1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d733b6efc48190bb64b5a8fac843c4 completed April 9, 2026, 5:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69de8526237881908dc3b25b16de7871 completed April 14, 2026, 6:19 p.m.
Created at: April 8, 2026, 9:18 p.m.