Triple
T16802644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inception |
E408395
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Saito |
—
|
NE NERFINISHED |
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: Saito | Statement: [Inception, mainCharacter, Saito]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saito Context triple: [Inception, mainCharacter, Saito]
-
A.
Saito
chosen
Saito is a Japanese surname commonly borne by notable figures in fields such as politics, sports, and the arts.
-
B.
Tateishi
Tateishi is a neighborhood in Tokyo known for its traditional shitamachi atmosphere, narrow shopping streets, and old-style bars and eateries.
-
C.
Naitō
Naitō is a Japanese surname borne by various notable figures in fields such as architecture, politics, and the arts.
-
D.
Sugimoto
Sugimoto is a Japanese surname borne by various notable individuals across fields such as art, sports, and academia.
-
E.
Hiranaka
Hiranaka is a Japanese surname borne by individuals such as former professional boxer Akinobu Hiranaka.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d88393905081908d00a86b99996ac8 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b2c8fe58819087d3b83635255c34 |
completed | April 18, 2026, 4:35 p.m. |
Created at: April 10, 2026, 5:22 a.m.