Triple
T9001275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sword Art Online |
E215043
|
entity |
| Predicate | animeWriter |
P85635
|
FINISHED |
| Object | Reki Kawahara |
E801555
|
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: Reki Kawahara | Statement: [Sword Art Online, animeWriter, Reki Kawahara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reki Kawahara Context triple: [Sword Art Online, animeWriter, Reki Kawahara]
-
A.
Reki Kawahara
chosen
Reki Kawahara is a Japanese light novel author best known for writing the popular series Sword Art Online and Accel World, both of which have received successful anime adaptations.
-
B.
Eri Kasamoto
Eri Kasamoto is a key playable character and demolitions expert in SNK's run-and-gun video game series Metal Slug.
-
C.
Masami Nakagawa
Masami Nakagawa is a Japanese physicist known as a prominent student and collaborator of theoretical physicist Shoichi Sakata.
-
D.
Miki Satō
Miki Satō is a Japanese singer-songwriter known for her emotionally expressive vocals and contributions to anime theme songs.
-
E.
Kazumi Ōta
Kazumi Ōta is a Japanese politician who serves as the mayor of Kashiwa in Chiba Prefecture.
- 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_69ca83a12d648190b1e4fe11e8a31890 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6954bb1881908d004a26ba7fe360 |
completed | April 1, 2026, 12:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d139a069f881909cc59bad0f110830 |
completed | April 4, 2026, 4:17 p.m. |
Created at: March 30, 2026, 7:05 p.m.