Triple
T14120663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | underwater kingdom of Atlantica |
E339895
|
entity |
| Predicate | homeOf |
P2591
|
FINISHED |
| Object | King Triton |
E339892
|
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: King Triton | Statement: [underwater kingdom of Atlantica, homeOf, King Triton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: King Triton Context triple: [underwater kingdom of Atlantica, homeOf, King Triton]
-
A.
King Triton
chosen
King Triton is the powerful and protective sea king and father of Ariel in Disney’s animated film "The Little Mermaid."
-
B.
Prince Sea
Prince Sea is an alias of the artist and producer Yam, known for their work in contemporary music.
-
C.
King Neptune
King Neptune is a central ceremonial figure who traditionally presides over the whimsical, ocean-themed festivities of the Coney Island Mermaid Parade.
-
D.
King Nereus
King Nereus is a fictional Atlantean ruler from the DC Comics universe, notably appearing in the film "Aquaman."
-
E.
Dragon King
The Dragon King is the official title of the reigning monarch of Bhutan, symbolizing the country's spiritual and cultural identity.
- 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_69d81c6a95b481909e39111e0c1f31ee |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de60942a588190beff0058a92f7051 |
completed | April 14, 2026, 3:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd19356478819083406440c22c38e2 |
completed | May 7, 2026, 10:59 p.m. |
Created at: April 9, 2026, 10:22 p.m.