Triple

T8533884
Position Surface form Disambiguated ID Type / Status
Subject Robert P. Patterson E202023 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: [Robert P. Patterson, familyName, Patterson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Patterson
Context triple: [Robert P. 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_69ca832355b08190b8b6a4ab4a4a3554 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe6a0ccd4819097b41d0dfb1c5018 completed March 31, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6d7aa3a881909bfdd3536dbc4ec7 completed April 2, 2026, 1:22 p.m.
Created at: March 30, 2026, 6:17 p.m.