Triple
T13678099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neptune Grotto |
E327927
|
entity |
| Predicate | hasTheme |
P261
|
FINISHED |
| Object | sea god Neptune |
E21594
|
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: sea god Neptune | Statement: [Neptune Grotto, hasTheme, sea god Neptune]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: sea god Neptune Context triple: [Neptune Grotto, hasTheme, sea god Neptune]
-
A.
King Neptune
King Neptune is a central ceremonial figure who traditionally presides over the whimsical, ocean-themed festivities of the Coney Island Mermaid Parade.
-
B.
Neptun
Neptun is a Romanian seaside resort on the Black Sea coast, known for its beaches and tourist facilities.
-
C.
Neptunes
Neptunes is a music production duo best known for their influential work in hip-hop and pop, consisting of Pharrell Williams and Chad Hugo.
-
D.
Poseidon
chosen
Poseidon is the ancient Greek god of the sea, earthquakes, and horses, one of the twelve Olympian deities.
-
E.
Poseidon
Poseidon is a 2006 disaster film that reimagines the classic capsizing-ocean-liner story with modern visual effects and an ensemble cast.
- 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_69d8076f1fa8819094664a59b55010df |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc65d8dc081909664e69bb38610ba |
completed | April 12, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f794405a38819085f38170c56564f2 |
completed | May 3, 2026, 6:30 p.m. |
Created at: April 9, 2026, 9:53 p.m.