Triple
T10213999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Today at Apple sessions |
E242396
|
entity |
| Predicate | usesTool |
P98
|
FINISHED |
| Object | Pages |
E184250
|
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: Pages | Statement: [Today at Apple sessions, usesTool, Pages]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pages Context triple: [Today at Apple sessions, usesTool, Pages]
-
A.
Pages
chosen
Pages is Apple's word processing and page layout application, part of the iWork productivity suite for macOS and iOS.
-
B.
Page
Page is a common English surname borne by numerous notable individuals across fields such as technology, entertainment, and politics.
-
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.
Page and Plant
Page and Plant was a musical duo and project formed by former Led Zeppelin members Jimmy Page and Robert Plant, known for revisiting and reinterpreting Zeppelin material alongside new collaborative work.
-
E.
Off the Page
Off the Page is a Disney California Adventure boutique specializing in animation-themed artwork, collectibles, and Disney-inspired prints and merchandise.
- 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d3aa24efc081909714d98943543283 |
completed | April 6, 2026, 12:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d652ea80dc81908bc65ee2ec390467 |
completed | April 8, 2026, 1:06 p.m. |
Created at: April 6, 2026, 11:04 a.m.