Triple
T18498414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | P. K. Page |
E452005
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Page |
—
|
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: Page | Statement: [P. K. Page, familyName, Page]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Page Context triple: [P. K. Page, familyName, Page]
-
A.
Page
chosen
Page is a common English surname borne by numerous notable individuals across fields such as technology, entertainment, and politics.
-
B.
Page
Page is an Australian federal electoral division in New South Wales, named after former Prime Minister Sir Earle Page and encompassing a largely regional and rural area.
-
C.
Page
Page is a character in William Shakespeare’s comedy "The Merry Wives of Windsor," depicted as a respectable middle-class husband in the town of Windsor.
-
D.
Pages
Pages is Apple's word processing and page layout application, part of the iWork productivity suite for macOS and iOS.
-
E.
Pag
Pag is a Croatian Adriatic island known for its barren, moonlike landscape, distinctive sheep’s milk cheese, and historic lace-making tradition.
- 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_69d8d3855d50819097fc8561b0299dd9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e532c275388190aafe891d0202f82e |
completed | April 19, 2026, 7:53 p.m. |
Created at: April 10, 2026, 11:36 a.m.