Triple
T17755842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neva Patterson |
E443235
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Patterson |
—
|
NE NERFINISHED |
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: [Neva Patterson, familyName, Patterson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Patterson Context triple: [Neva 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 (2 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_69d8b9edf16c8190a59ebd245d378f4f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4841e7050819083a4e638ca7484f7 |
completed | April 19, 2026, 7:28 a.m. |
Created at: April 10, 2026, 10:10 a.m.