Triple
T21165233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HMS Ocean |
E521542
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Ocean |
—
|
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: Ocean | Statement: [HMS Ocean, namedAfter, Ocean]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ocean Context triple: [HMS Ocean, namedAfter, Ocean]
-
A.
Ocean
chosen
Ocean is a mythological personification of the world-encircling river in Greek mythology, often depicted as a Titan associated with the vast waters surrounding the Earth.
-
B.
Ocean
"Ocean" is a melodic electronic dance track by Dutch DJ and producer Martin Garrix featuring American singer Khalid.
-
C.
Ocean
Ocean is a studio album by Colombian reggaeton singer Karol G that blends Latin urban, reggaeton, and pop influences and helped solidify her international success.
-
D.
Ocean
Ocean is a large-scale dance work by choreographer Merce Cunningham, notable for its circular staging, complex choreography, and collaboration with composer John Cage.
-
E.
Ocean
"Ocean" is a studio album by British singer-songwriter Lady A, showcasing their country-pop sound and emotive storytelling.
- 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_69e0b50e30748190b186824a206d39b9 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7270e15bc81908d609198e573040e |
completed | April 21, 2026, 7:28 a.m. |
Created at: April 16, 2026, 2:59 p.m.