Triple
T9001482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue Exorcist |
E215047
|
entity |
| Predicate | hasMainCharacter |
P1183
|
FINISHED |
| Object |
Renzo Shima
Renzo Shima is a laid-back yet secretly capable exorcist-in-training and supporting protagonist in the manga and anime series Blue Exorcist.
|
E828629
|
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: Renzo Shima | Statement: [Blue Exorcist, hasMainCharacter, Renzo Shima]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Renzo Shima Context triple: [Blue Exorcist, hasMainCharacter, Renzo Shima]
-
A.
Kiyohide Shima
Kiyohide Shima was an Imperial Japanese Navy admiral during World War II who led a cruiser-destroyer force in major Pacific engagements.
-
B.
Otoya Yamaguchi
Otoya Yamaguchi was a 17-year-old Japanese ultranationalist who assassinated socialist politician Inejiro Asanuma during a televised political debate in 1960.
-
C.
Toshiaki
Toshiaki is a Japanese masculine given name commonly used for men and boys in Japan.
-
D.
Koji Sato
Koji Sato is a Japanese automotive executive who serves as the president and CEO of Toyota Motor Corporation.
-
E.
Takeo
Takeo is a Japanese given name commonly used for males and borne by various notable figures in fields such as politics, business, and the arts.
- 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: Renzo Shima Triple: [Blue Exorcist, hasMainCharacter, Renzo Shima]
Generated description
Renzo Shima is a laid-back yet secretly capable exorcist-in-training and supporting protagonist in the manga and anime series Blue Exorcist.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Renzo Shima Target entity description: Renzo Shima is a laid-back yet secretly capable exorcist-in-training and supporting protagonist in the manga and anime series Blue Exorcist.
-
A.
Kiyohide Shima
Kiyohide Shima was an Imperial Japanese Navy admiral during World War II who led a cruiser-destroyer force in major Pacific engagements.
-
B.
Otoya Yamaguchi
Otoya Yamaguchi was a 17-year-old Japanese ultranationalist who assassinated socialist politician Inejiro Asanuma during a televised political debate in 1960.
-
C.
Toshiaki
Toshiaki is a Japanese masculine given name commonly used for men and boys in Japan.
-
D.
Koji Sato
Koji Sato is a Japanese automotive executive who serves as the president and CEO of Toyota Motor Corporation.
-
E.
Takeo
Takeo is a Japanese given name commonly used for males and borne by various notable figures in fields such as politics, business, and the arts.
- 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_69ca83a12d648190b1e4fe11e8a31890 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6956a6e08190bd3853a7c1c130eb |
completed | April 1, 2026, 12:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d20c9b4c3c8190bfe58a75e93b20b8 |
completed | April 5, 2026, 7:17 a.m. |
| NEDg | Description generation | batch_69d20e9f480c819086b0165aa77ddb06 |
completed | April 5, 2026, 7:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d20fa9cab88190bbddcf18b49f8172 |
completed | April 5, 2026, 7:30 a.m. |
Created at: March 30, 2026, 7:05 p.m.