Triple
T16689320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yekaterina |
E405551
|
entity |
| Predicate | hasShortForm |
P43
|
FINISHED |
| Object | Kat |
E151965
|
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: Kat | Statement: [Yekaterina, hasShortForm, Kat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kat Context triple: [Yekaterina, hasShortForm, Kat]
-
A.
Kat
chosen
Kat is a given name, typically used as a shortened or informal form of Kathleen or Katherine.
-
B.
Kar
Kar is the young, streetwise pickpocket chosen as the reluctant successor to a mystical protector in the action film "Bulletproof Monk."
-
C.
Kath
Kath is an ancient city in the Khwarazm region of Central Asia, historically significant as a cultural and scholarly center of the Islamic Golden Age.
-
D.
Kit
Kit is a personal name commonly used as a given name or nickname for individuals of any gender.
-
E.
Kati
Kati is an Indo-Iranian Nuristani ethnic group and language community native to the mountainous Nuristan region of eastern Afghanistan.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ea80d88819091fc61ed3c01955a |
completed | April 18, 2026, 12:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a46a4cc8190b47f9dcf27380c46 |
completed | May 10, 2026, 1:38 p.m. |
Created at: April 10, 2026, 5:19 a.m.