Triple

T16771822
Position Surface form Disambiguated ID Type / Status
Subject John Henry Patterson E407615 entity
Predicate familyName P18 FINISHED
Object Patterson E188718 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: Patterson | Statement: [John Henry Patterson, familyName, Patterson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Patterson
Context triple: [John Henry Patterson, familyName, Patterson]
  • A. Patterson
    Patterson is a small agricultural and residential city in California’s Central Valley, known as the “Apricot Capital of the World” and located in Stanislaus County.
  • B. Patterson
    Patterson is a small community located within the town of Lincoln in Ontario, Canada.
  • C. Patterson chosen
    Patterson is a common English and Scottish surname borne by numerous notable individuals across fields such as literature, politics, sports, and entertainment.
  • D. Patten
    Patten is a surname and variant spelling of "Patton," borne by various individuals across English-speaking countries.
  • E. Carswell
    Carswell is a surname of English and Scottish origin borne by various notable individuals, including politicians, judges, and public figures.
  • 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_69d8839174188190909f190097207065 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b036ff788190bd9f166c3f127818 completed April 18, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00a5361c3881909be0fb9b83a59993 completed May 10, 2026, 3:33 p.m.
Created at: April 10, 2026, 5:21 a.m.