Triple
T6270598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Day |
E140523
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Seven Seas |
E336467
|
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: Seven Seas | Statement: [The Day, hasTrack, Seven Seas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seven Seas Context triple: [The Day, hasTrack, Seven Seas]
-
A.
Seven Seas
chosen
Seven Seas is a traditional maritime term referring to the world’s major seas and oceans collectively.
-
B.
High Seas
High Seas is a Spanish mystery drama television series set on a luxury ocean liner in the 1940s, following a string of murders and dark family secrets uncovered during its transatlantic voyages.
-
C.
Sea of Mystery
Sea of Mystery is a themed area within the SeaWorld Orlando marine park, featuring ocean-inspired attractions and experiences.
-
D.
Night Sea
"Night Sea" is a minimalist abstract painting by Agnes Martin, exemplifying her serene grid-based style and meditative exploration of subtle color and line.
-
E.
The Seafarers
The Seafarers is a 1953 short documentary film and one of Stanley Kubrick’s early non-fiction works, focusing on the lives and organization of merchant seamen.
- 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_69c008cabc4081909723e2547c9d6cc0 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063bb340c8190ab81b249cefa91ca |
completed | March 22, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c2446629248190945f0f4f4a103bbd |
completed | March 24, 2026, 7:59 a.m. |
Created at: March 22, 2026, 4:25 p.m.