Triple
T5506875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atsuko |
E144461
|
entity |
| Predicate | hasNameVariant |
P457
|
FINISHED |
| Object | Atsuko (アツコ in katakana) |
E144461
|
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: Atsuko (アツコ in katakana) | Statement: [Atsuko, hasNameVariant, Atsuko (アツコ in katakana)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Atsuko (アツコ in katakana) Context triple: [Atsuko, hasNameVariant, Atsuko (アツコ in katakana)]
-
A.
Atsuko
chosen
Atsuko is a Japanese feminine given name commonly borne by women and princesses in Japan, with meanings that vary depending on the kanji used.
-
B.
Asaka
Asaka is a Japanese noble family name historically associated with a collateral branch of the Imperial Family, including Prince Asaka Yasuhiko.
-
C.
KATS
KATS is the electronic trading platform used by the Pakistan Stock Exchange to facilitate and manage securities trading.
-
D.
Kato
Kato is the nickname of Kato Svanidze, who was the first wife of Soviet leader Joseph Stalin.
-
E.
Kato
Kato is a Japanese surname shared by numerous notable individuals across fields such as entertainment, sports, and politics.
- 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_69c008f6b5048190a09064116062cf69 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f47d2dc8190ad874be6902d8a4c |
completed | March 22, 2026, 4:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c027bc39208190baa01feadb75d3c6 |
completed | March 22, 2026, 5:32 p.m. |
Created at: March 22, 2026, 3:32 p.m.