Triple

T8984339
Position Surface form Disambiguated ID Type / Status
Subject Elizabeth Patterson E214618 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: [Elizabeth Patterson, familyName, Patterson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Patterson
Context triple: [Elizabeth 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 chosen
    Patterson is a common English and Scottish surname borne by numerous notable individuals across fields such as literature, politics, sports, and entertainment.
  • C. Patten
    Patten is a surname and variant spelling of "Patton," borne by various individuals across English-speaking countries.
  • D. Keene
    Keene is a small community in Ontario, Canada, known for its rural character and proximity to Rice Lake.
  • E. Keene
    Keene is a small unincorporated community in Kern County, California, historically associated with the United Farm Workers and labor leader César Chávez.
  • 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_69ca839f76bc8190a4b7123cdd682199 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc67ecc5188190a6fb4d5456893121 completed April 1, 2026, 12:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd0b89a7481908f747043d2a68a37 completed April 3, 2026, 2:37 p.m.
Created at: March 30, 2026, 7:03 p.m.