Triple
T13022968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lori Nichol |
E326222
|
entity |
| Predicate | hasClient |
P734
|
FINISHED |
| Object | Fumie Suguri |
E778524
|
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: Fumie Suguri | Statement: [Lori Nichol, hasClient, Fumie Suguri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fumie Suguri Context triple: [Lori Nichol, hasClient, Fumie Suguri]
-
A.
Fumie Suguri
chosen
Fumie Suguri is a Japanese figure skater known for her international success in the early 2000s, including multiple World Championship medals and Grand Prix titles.
-
B.
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."
-
C.
Okamura Mayumi
Okamura Mayumi is a Japanese voice actress and singer known for her work in anime and related media.
-
D.
Ayumi Sekine
Ayumi Sekine is a Japanese screenwriter best known for her work on anime projects, including the Fate/Grand Order - First Order adaptation.
-
E.
Okamura Sayaka
Okamura Sayaka is a Japanese voice actress and singer known for her work in anime and related media.
- 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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97ed05e9c8190a4f208662bca0602 |
completed | April 10, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716b885708190b6c38c481fa9ca21 |
completed | May 3, 2026, 9:34 a.m. |
Created at: April 9, 2026, 8:52 p.m.