Triple

T10235719
Position Surface form Disambiguated ID Type / Status
Subject Jeff Dunham E243458 entity
Predicate familyName P18 FINISHED
Object Dunham E47156 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: Dunham | Statement: [Jeff Dunham, familyName, Dunham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dunham
Context triple: [Jeff Dunham, familyName, Dunham]
  • A. Dunham chosen
    Dunham is a surname most notably associated with Ann Dunham, the American anthropologist and mother of former U.S. President Barack Obama.
  • B. Derryfield
    Derryfield was the original name of what is now the city of Manchester, New Hampshire, reflecting its early colonial settlement before industrial growth transformed it into a major mill town.
  • C. Ruggles
    Ruggles is a major multimodal transit station in Boston, Massachusetts, serving MBTA commuter rail, subway, and bus routes near Northeastern University.
  • D. Roseland
    Roseland is a predominantly residential neighborhood on Chicago’s far South Side known for its historic roots, diverse community, and ongoing efforts at economic revitalization.
  • E. Mathison
    Mathison is a surname most notably associated with American screenwriter Melissa Mathison, known for writing the screenplay for "E.T. the Extra-Terrestrial."
  • 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_69d381b0f97c819085c9b45799a5fb7c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d20de15c8190a81f3e9803fdfcd1 completed April 7, 2026, 9:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f757b514819087f5d5f659c50c66 completed April 9, 2026, 12:48 a.m.
Created at: April 6, 2026, 11:22 a.m.