Triple
T23424536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jonathan Raban |
E560755
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Coasting |
—
|
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: Coasting | Statement: [Jonathan Raban, notableWork, Coasting]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Coasting Context triple: [Jonathan Raban, notableWork, Coasting]
-
A.
Coasting
chosen
Coasting is a travel memoir by Jonathan Raban that recounts his solo voyage around Britain by boat, blending personal reflection with sharp social and cultural observation.
-
B.
Coaster
"Coaster" is a song by American singer-songwriter American Teen, known for its mellow, introspective style and emotionally reflective lyrics.
-
C.
Coaster
Coaster is a branded bus service operated by East Yorkshire Buses, providing coastal and local routes in the East Yorkshire region of England.
-
D.
Coaster
Coaster is a 2009 studio album by the American punk rock band NOFX, known for its fast-paced songs and satirical, politically charged lyrics.
-
E.
Coast
Coast is a British fashion brand known for its elegant occasionwear and contemporary womenswear.
- 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_69e2454cb1108190ab21ada5411a7146 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a54838fc8190a3205ca72daaf107 |
completed | April 29, 2026, 6:29 a.m. |
Created at: April 17, 2026, 5:47 p.m.