Triple

T14967032
Position Surface form Disambiguated ID Type / Status
Subject Bailey v. Patterson E373215 entity
Predicate party P1790 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: [Bailey v. Patterson, party, Patterson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Patterson
Context triple: [Bailey v. Patterson, party, 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_69d85ccbbcd48190acb56e7cf104d8ad completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6e2fdcc8190bffe603db3388736 completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe8be122688190b20fe4450786158a completed May 9, 2026, 1:20 a.m.
Created at: April 10, 2026, 2:47 a.m.