Triple
T10237791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Free Sea |
E243510
|
entity |
| Predicate | hasEnglishTitle |
P3437
|
FINISHED |
| Object | The Free Sea |
E243510
|
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: The Free Sea | Statement: [The Free Sea, hasEnglishTitle, The Free Sea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Free Sea Context triple: [The Free Sea, hasEnglishTitle, The Free Sea]
-
A.
The Free Sea
chosen
The Free Sea is the English title of Hugo Grotius’s seminal 1609 treatise advocating the principle of freedom of the seas in international law.
-
B.
The Seas
The Seas is an ocean-themed pavilion and aquarium attraction at EPCOT in Walt Disney World, featuring marine life exhibits and the Finding Nemo franchise.
-
C.
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.
-
D.
The Sea
The Sea is a 1973 darkly comic play by British dramatist Edward Bond that satirically explores class, grief, and social order in a small Edwardian seaside town.
-
E.
The Sea
The Sea is a painting by British artist L. S. Lowry, known for its minimalist seascape composition and characteristic muted palette.
- 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_69d381b0f97c819085c9b45799a5fb7c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d21b64c88190b708c20ca7fe20aa |
completed | April 7, 2026, 9:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f76ca8848190a49d7dc76cf9dd35 |
completed | April 9, 2026, 12:48 a.m. |
Created at: April 6, 2026, 11:23 a.m.