Triple
T16056873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Twentysomething |
E389502
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | All at Sea |
E389511
|
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: All at Sea | Statement: [Twentysomething, hasPart, All at Sea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: All at Sea Context triple: [Twentysomething, hasPart, All at Sea]
-
A.
All At Sea
chosen
"All At Sea" is a jazz-influenced pop song by British singer-songwriter and pianist Jamie Cullum, featured on his breakthrough album "Twentysomething."
-
B.
300 Days at Sea
300 Days at Sea is a 2011 studio album by Bermudian singer-songwriter Heather Nova, known for its melodic indie rock and introspective lyrics.
-
C.
The Shipwreck
The Shipwreck is a dramatic 18th-century maritime painting by French artist Joseph Vernet, renowned for its vivid depiction of storm-tossed seas and human struggle against nature.
-
D.
At Sea
"At Sea" is a section or component of Ernest Hemingway's posthumously published novel "Islands in the Stream," focusing on the protagonist's experiences during World War II naval patrols.
-
E.
The Ship
The Ship is an informal nickname for the TARDIS, the Doctor’s time-traveling spacecraft and time machine in the long-running British science fiction series Doctor Who.
- 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_69d86dae698881908327ef2d67706cb9 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1837579488190964ca004c2eb01c4 |
completed | April 17, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbe49bd0819088e25de082184133 |
completed | May 10, 2026, 1:14 a.m. |
Created at: April 10, 2026, 4:56 a.m.