Triple
T14044103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Notwist |
E337913
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Nook |
E276904
|
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: Nook | Statement: [The Notwist, notableWork, Nook]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nook Context triple: [The Notwist, notableWork, Nook]
-
A.
Nook e-reader
chosen
The Nook e-reader is Barnes & Noble’s line of electronic reading devices designed for purchasing, downloading, and reading digital books and other publications.
-
B.
Nintendo e-Reader
The Nintendo e-Reader is a Game Boy Advance accessory that scans special cards to unlock games, levels, and other digital content.
-
C.
Nook Farm
Nook Farm was a historic 19th-century literary and intellectual enclave in Hartford, Connecticut, home to prominent writers and reformers including Harriet Beecher Stowe and Mark Twain.
-
D.
Kobo Writing Life
Kobo Writing Life is Kobo's self-publishing platform that enables independent authors to publish and distribute their ebooks globally through the Kobo ecosystem.
-
E.
Kobo e-readers
Kobo e-readers are a line of digital reading devices known for their wide format support, integration with public libraries, and openness compared to many competing platforms.
- 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_69d81c664e48819088cbd8f433aeffe5 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de312b94308190bd0961f5bc719c7b |
completed | April 14, 2026, 12:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc34148348190a8c67e035646e431 |
completed | May 6, 2026, 10:40 p.m. |
Created at: April 9, 2026, 10:20 p.m.