Triple
T15493066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Pagan |
E378745
|
entity |
| Predicate | setting |
P1957
|
FINISHED |
| Object | South Seas |
E600503
|
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: South Seas | Statement: [The Pagan, setting, South Seas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: South Seas Context triple: [The Pagan, setting, South Seas]
-
A.
South Seas
chosen
South Seas is a romanticized term for the tropical islands and waters of the South Pacific, often depicted in Western literature and film as an exotic, adventurous paradise.
-
B.
The High Seas
"The High Seas" is an episode of the nature documentary series "Our Planet" that explores the diverse and often unseen life and ecosystems found in the open ocean.
-
C.
The Oceanic
The Oceanic is a musical artist known for creating the track "Jubilant Day."
-
D.
Oceano
Oceano is a small coastal community in California known for its dunes, beaches, and outdoor recreation.
-
E.
Sea of Islands
Sea of Islands is the English translation of the name of the Aral Sea, historically a vast endorheic lake in Central Asia once known for its numerous islands.
- 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_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03fad723481908d2aa33e8f065f2f |
completed | April 16, 2026, 1:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3660fc6c81908caf1729260a8338 |
completed | May 9, 2026, 1:28 p.m. |
Created at: April 10, 2026, 3:49 a.m.