Triple
T20045244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pokémon Legends: Arceus |
E497540
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Akari
Akari is the female player character and protagonist in the action role-playing game Pokémon Legends: Arceus, set in the ancient Hisui region.
|
E1409137
|
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: Akari | Statement: [Pokémon Legends: Arceus, mainCharacter, Akari]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Akari Context triple: [Pokémon Legends: Arceus, mainCharacter, Akari]
-
A.
Takako
Takako is a Japanese feminine given name borne by various notable figures in politics, arts, and entertainment.
-
B.
Akie
Akie is the given name of Akie Abe, the Japanese radio DJ and socialite who served as the wife of former Prime Minister Shinzō Abe.
-
C.
Kiki Aru
Kiki Aru is a young Munchkin boy and powerful but misguided magician who serves as the central antagonist in L. Frank Baum’s Oz novel "The Magic of Oz."
-
D.
Eika
Eika is a small Norwegian island located in Ulstein Municipality in Møre og Romsdal county.
-
E.
Naoko
Naoko is a central, emotionally fragile character in Haruki Murakami’s story "Norwegian Wood," whose complex relationship with the protagonist explores themes of love, loss, and mental illness.
- 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: Akari Triple: [Pokémon Legends: Arceus, mainCharacter, Akari]
Generated description
Akari is the female player character and protagonist in the action role-playing game Pokémon Legends: Arceus, set in the ancient Hisui region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Akari Target entity description: Akari is the female player character and protagonist in the action role-playing game Pokémon Legends: Arceus, set in the ancient Hisui region.
-
A.
Takako
Takako is a Japanese feminine given name borne by various notable figures in politics, arts, and entertainment.
-
B.
Akie
Akie is the given name of Akie Abe, the Japanese radio DJ and socialite who served as the wife of former Prime Minister Shinzō Abe.
-
C.
Kiki Aru
Kiki Aru is a young Munchkin boy and powerful but misguided magician who serves as the central antagonist in L. Frank Baum’s Oz novel "The Magic of Oz."
-
D.
Eika
Eika is a small Norwegian island located in Ulstein Municipality in Møre og Romsdal county.
-
E.
Naoko
Naoko is a central, emotionally fragile character in Haruki Murakami’s story "Norwegian Wood," whose complex relationship with the protagonist explores themes of love, loss, and mental illness.
- 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_69da627278c88190babe4297a9df1236 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e662eea09481908d1001165e9d719c |
completed | April 20, 2026, 5:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a081603b36c8190b82688c3235fc794 |
completed | May 16, 2026, 7 a.m. |
| NEDg | Description generation | batch_6a08180e5e988190a846aef83802cfc3 |
completed | May 16, 2026, 7:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0818970bb081908093589df4fc65b6 |
completed | May 16, 2026, 7:11 a.m. |
Created at: April 11, 2026, 3:37 p.m.