Triple
T20446411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alola |
E501527
|
entity |
| Predicate | hasIslandKahuna |
P140141
|
FINISHED |
| Object |
Nanu
Nanu is the gruff, laid-back police officer and Dark-type specialist who serves as the Island Kahuna of Ula'ula Island in the Pokémon Sun and Moon games.
|
E1431804
|
NE FINISHED |
How this triple was built (4 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: Nanu | Statement: [Alola, hasIslandKahuna, Nanu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nanu Context triple: [Alola, hasIslandKahuna, Nanu]
-
A.
Nan
Nan is a small historic city in northern Thailand known for its tranquil atmosphere, traditional Lanna culture, and ornate Buddhist temples.
-
B.
Nan
Nan is a spirited, independent young woman in Louisa May Alcott’s novel "Jo’s Boys," known for challenging traditional gender roles and pursuing a medical career.
-
C.
Nanabhoy
Nanabhoy is the given name of Nanabhoy Palkhivala, a renowned Indian jurist, constitutional expert, and economist.
-
D.
Nanon
Nanon is a loyal and selfless servant in Honoré de Balzac’s novel "Eugénie Grandet," known for her devotion to the Grandet household and especially to Eugénie.
-
E.
Nanuya Levu
Nanuya Levu is a small, tropical Fijian island in the Yasawa archipelago, known for its secluded beaches and use as a filming location for the movie "The Blue Lagoon."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Nanu Triple: [Alola, hasIslandKahuna, Nanu]
Generated description
Nanu is the gruff, laid-back police officer and Dark-type specialist who serves as the Island Kahuna of Ula'ula Island in the Pokémon Sun and Moon games.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nanu Target entity description: Nanu is the gruff, laid-back police officer and Dark-type specialist who serves as the Island Kahuna of Ula'ula Island in the Pokémon Sun and Moon games.
-
A.
Nan
Nan is a spirited, independent young woman in Louisa May Alcott’s novel "Jo’s Boys," known for challenging traditional gender roles and pursuing a medical career.
-
B.
Nan
Nan is a small historic city in northern Thailand known for its tranquil atmosphere, traditional Lanna culture, and ornate Buddhist temples.
-
C.
Nanabhoy
Nanabhoy is the given name of Nanabhoy Palkhivala, a renowned Indian jurist, constitutional expert, and economist.
-
D.
Nanon
Nanon is a loyal and selfless servant in Honoré de Balzac’s novel "Eugénie Grandet," known for her devotion to the Grandet household and especially to Eugénie.
-
E.
Nanuya Levu
Nanuya Levu is a small, tropical Fijian island in the Yasawa archipelago, known for its secluded beaches and use as a filming location for the movie "The Blue Lagoon."
- F. None of above. chosen
Provenance (5 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_69e0b4ac0a1c81908845d0f8a56abce8 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e68cfd84c08190a3f971f1cd279715 |
completed | April 20, 2026, 8:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0884056b4c81909d06e4cbba56533f |
completed | May 16, 2026, 2:49 p.m. |
| NEDg | Description generation | batch_6a0886c7b794819091e4b7915bcbe858 |
completed | May 16, 2026, 3:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08876380048190aa9d0e20f3752a0f |
completed | May 16, 2026, 3:04 p.m. |
Created at: April 16, 2026, 11:32 a.m.