Triple
T18741859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Autumn |
E458310
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Sea |
—
|
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: Sea | Statement: [Autumn, hasTrack, Sea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sea Context triple: [Autumn, hasTrack, Sea]
-
A.
Sea
chosen
"Sea" is a track by the American slowcore band Low, featured on their 1994 debut album *I Could Live in Hope*.
-
B.
Another Sea
Another Sea is a novel by Italian writer and scholar Claudio Magris that explores themes of identity, exile, and the search for meaning against the backdrop of 20th-century European history.
-
C.
Ob Sea
Ob Sea is a large artificial reservoir on the Ob River near Novosibirsk in southwestern Siberia, Russia, known for its significant role in regional water management and recreation.
-
D.
The Sea
"The Sea" is a lyrical poem by Russian Romantic poet Vasily Zhukovsky that meditates on the beauty, mystery, and emotional power of the ocean.
-
E.
The Sea
"The Sea" is a section of the orchestral suite "Festival at Baghdad – The Sea – Shipwreck" from Nikolai Rimsky-Korsakov’s symphonic suite *Scheherazade*, depicting the ocean’s vastness and drama through vivid musical imagery.
- 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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5768fc1f8819085a2abf129ade34b |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 10, 2026, 11:51 a.m.