Triple
T9175747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fate/Grand Order - First Order |
E220194
|
entity |
| Predicate | screenplayBy |
P15305
|
FINISHED |
| Object | Ayumi Sekine |
E830800
|
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: Ayumi Sekine | Statement: [Fate/Grand Order - First Order, screenplayBy, Ayumi Sekine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ayumi Sekine Context triple: [Fate/Grand Order - First Order, screenplayBy, Ayumi Sekine]
-
A.
Ayumi Sekine
chosen
Ayumi Sekine is a Japanese screenwriter best known for her work on anime projects, including the Fate/Grand Order - First Order adaptation.
-
B.
Ayumi Ito
Ayumi Ito is a Japanese actress known for her film and television roles, including work in both domestic productions and international projects.
-
C.
Tanaka Rie
Tanaka Rie is a Japanese voice actress and singer known for her prominent roles in anime series such as "Love Hina," "Toradora!," and "Fate/stay night."
-
D.
Shoko Nakagawa
Shoko Nakagawa is a Japanese singer, voice actress, and television personality known for her prominent work in anime music and otaku culture.
-
E.
Yui Satō
Yui Satō is a Japanese given name borne by multiple notable individuals, including figures in entertainment and other public fields.
- 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_69ca83e589948190ac9907819db11ddf |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccbfa496548190a096969eebf732f3 |
completed | April 1, 2026, 6:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d23c8f14b081909df4eae9b2d16860 |
completed | April 5, 2026, 10:42 a.m. |
Created at: March 30, 2026, 7:23 p.m.