Triple
T16273199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ketevan |
E395053
|
entity |
| Predicate | hasDiminutive |
P456
|
FINISHED |
| Object | Kato |
E13314
|
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 | Statement: [Ketevan, hasDiminutive, Kato]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kato Context triple: [Ketevan, hasDiminutive, Kato]
-
A.
Kato
Kato is a Japanese surname shared by numerous notable individuals across fields such as entertainment, sports, and politics.
-
B.
Kato
Kato is an indigenous Athabaskan language traditionally spoken in northern California by the Kato people.
-
C.
Kato
chosen
Kato is the nickname of Kato Svanidze, who was the first wife of Soviet leader Joseph Stalin.
-
D.
Kato Kleines
Kato Kleines is a village located in the Florina regional unit of Western Macedonia in northern Greece.
-
E.
Kurō
Kurō is an honorific name historically associated with the famed Japanese military commander Minamoto no Yoshitsune of the late Heian period.
- 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_69d87f221d8081909b0b2063e7528ba2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2460b22d88190bdc7cf509cf74198 |
completed | April 17, 2026, 2:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0025fb88488190a2979c75fba67b9d |
completed | May 10, 2026, 6:30 a.m. |
Created at: April 10, 2026, 5:05 a.m.