Triple
T18584600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inuyasha |
E454202
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Kikyo
Kikyo is a powerful and tragic priestess from the anime and manga series "Inuyasha," known for her complex relationship with the half-demon protagonist and her role in guarding the Shikon Jewel.
|
E1332839
|
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: Kikyo | Statement: [Inuyasha, hasCharacter, Kikyo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kikyo Context triple: [Inuyasha, hasCharacter, Kikyo]
-
A.
Gyōkyō
Gyōkyō was a Buddhist monk traditionally credited with establishing the important Shinto-Buddhist shrine Iwashimizu Hachimangū in Japan.
-
B.
Fusokyo
Fusokyo is a component or subdivision within Sect Shinto, a branch of Shinto characterized by organized religious groups with distinct doctrines and practices.
-
C.
Shinjo
Shinjo is a notable figure associated with the Kegon school of Japanese Buddhism, recognized for contributions to its teachings or development.
-
D.
Tsutako
Tsutako is a Japanese given name, most notably borne by Tsutako Nakasone.
-
E.
Hisako
Hisako is a member of the Japanese imperial family known as Princess Takamado, recognized for her cultural, charitable, and international goodwill activities.
- 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: Kikyo Triple: [Inuyasha, hasCharacter, Kikyo]
Generated description
Kikyo is a powerful and tragic priestess from the anime and manga series "Inuyasha," known for her complex relationship with the half-demon protagonist and her role in guarding the Shikon Jewel.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kikyo Target entity description: Kikyo is a powerful and tragic priestess from the anime and manga series "Inuyasha," known for her complex relationship with the half-demon protagonist and her role in guarding the Shikon Jewel.
-
A.
Gyōkyō
Gyōkyō was a Buddhist monk traditionally credited with establishing the important Shinto-Buddhist shrine Iwashimizu Hachimangū in Japan.
-
B.
Fusokyo
Fusokyo is a component or subdivision within Sect Shinto, a branch of Shinto characterized by organized religious groups with distinct doctrines and practices.
-
C.
Shinjo
Shinjo is a notable figure associated with the Kegon school of Japanese Buddhism, recognized for contributions to its teachings or development.
-
D.
Tsutako
Tsutako is a Japanese given name, most notably borne by Tsutako Nakasone.
-
E.
Hisako
Hisako is a member of the Japanese imperial family known as Princess Takamado, recognized for her cultural, charitable, and international goodwill activities.
- 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_69d8d38ae7e081908a98df1251842402 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e545b0dff08190a3be481faec34a3c |
completed | April 19, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05037ae9708190afa199491cb93343 |
completed | May 13, 2026, 11:04 p.m. |
| NEDg | Description generation | batch_6a050463219c819093970be896e35c45 |
completed | May 13, 2026, 11:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0504b40c24819084716616794ca920 |
completed | May 13, 2026, 11:09 p.m. |
Created at: April 10, 2026, 11:44 a.m.