Triple
T9153389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kato |
E219644
|
entity |
| Predicate | isDistinctFrom |
P1612
|
FINISHED |
| Object | Kato (fictional character name) |
E219644
|
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: Kato (fictional character name) | Statement: [Kato, isDistinctFrom, Kato (fictional character name)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kato (fictional character name) Context triple: [Kato, isDistinctFrom, Kato (fictional character name)]
-
A.
Kato
chosen
Kato is a Japanese surname shared by numerous notable individuals across fields such as entertainment, sports, and politics.
-
B.
Kato
Kato is the nickname of Kato Svanidze, who was the first wife of Soviet leader Joseph Stalin.
-
C.
Kato Kleines
Kato Kleines is a village located in the Florina regional unit of Western Macedonia in northern Greece.
-
D.
Kuromi
Kuromi is a mischievous yet cute Sanrio character, often depicted in a black jester’s hat with a pink skull, who serves as My Melody’s punk-styled rival.
-
E.
Koichi
Koichi is a Japanese given name commonly used for males and borne by various notable figures in fields such as science, politics, and entertainment.
- 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_69ca83e25418819093c6503deeaf30de |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca96e323881909cbf4d6708f24f79 |
completed | April 1, 2026, 5:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d04846544481909012f5c7fbbf3b0a |
completed | April 3, 2026, 11:07 p.m. |
Created at: March 30, 2026, 7:20 p.m.