Triple
T20173049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mihails |
E492017
|
entity |
| Predicate | cognateWith |
P2525
|
FINISHED |
| Object | Mikelis |
—
|
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: Mikelis | Statement: [Mihails, cognateWith, Mikelis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mikelis Context triple: [Mihails, cognateWith, Mikelis]
-
A.
Mikelis
chosen
Mikelis is a given name, primarily used in Latvia, that serves as a local variant of the name Michael.
-
B.
Miklas
Miklas is an Austrian surname most notably borne by Wilhelm Miklas, who served as President of Austria from 1928 to 1938.
-
C.
Martynas
Martynas is a Lithuanian masculine given name commonly borne by notable figures such as athletes and public personalities.
-
D.
Zydrunas
Zydrunas is a Lithuanian masculine given name most notably borne by former NBA center Zydrunas Ilgauskas.
-
E.
Masiulis
Masiulis is a Lithuanian surname commonly associated with several notable figures in sports, politics, and the arts.
- 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e66849709c81909b65b421282f9f3b |
completed | April 20, 2026, 5:54 p.m. |
Created at: April 11, 2026, 11:35 p.m.