Triple

T13909633
Position Surface form Disambiguated ID Type / Status
Subject Timothy Carlson E334451 entity
Predicate hasFamilyName P18 FINISHED
Object Carlson E58048 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: Carlson | Statement: [Timothy Carlson, hasFamilyName, Carlson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carlson
Context triple: [Timothy Carlson, hasFamilyName, Carlson]
  • A. Carlson chosen
    Carlson is a common surname of Scandinavian origin borne by numerous notable individuals across fields such as sports, politics, and entertainment.
  • B. Carls
    Carls is a German surname most notably associated with Rolf Carls, a high-ranking naval officer in the Kriegsmarine during World War II.
  • C. Driscoll
    Driscoll is a surname most notably associated with American child actor Bobby Driscoll, known for his work with Disney in the mid-20th century.
  • D. Dunnigan
    Dunnigan is a small unincorporated community in Yolo County, California, known primarily as a rural agricultural area along Interstate 5.
  • E. O'Steen
    O'Steen is a surname most notably associated with American film editor Sam O'Steen, known for his work on several acclaimed Hollywood films.
  • 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_69d81c5eaa9c819083b1ff8689179565 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2721ec6c8190888f4a9d004eb8e0 completed April 14, 2026, 11:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c726b7388190b557f4c41622460d completed May 3, 2026, 10:07 p.m.
Created at: April 9, 2026, 10:16 p.m.