Triple
T5269544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Micka |
E119222
|
entity |
| Predicate | hasSpellingVariant |
P457
|
FINISHED |
| Object | Mickaʹ |
E119222
|
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: Mickaʹ | Statement: [Micka, hasSpellingVariant, Mickaʹ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mickaʹ Context triple: [Micka, hasSpellingVariant, Mickaʹ]
-
A.
Micka
chosen
Micka is a diminutive or affectionate nickname commonly used for the given name Michael.
-
B.
Michal
Michal is a biblical figure, a daughter of King Saul who became the first wife of King David in the Hebrew Bible.
-
C.
Michal
Michal is a mentally impaired and childlike character in Martin McDonagh’s dark play "The Pillowman," whose actions and relationship with his brother Katurian are central to the story’s moral and emotional conflict.
-
D.
Miková
Miková is a small village in northeastern Slovakia, notable as the birthplace of Julia Warhola, mother of artist Andy Warhol.
-
E.
Mila
Mila is a leading artificial intelligence research institute based in Quebec, renowned for its work in deep learning and machine learning.
- 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_69bd446c38e081908cdaf113bdf86790 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7bfdc9bc81908307f44f32fe9338 |
completed | March 20, 2026, 4:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69befe9542488190b715bc4bd800cb02 |
completed | March 21, 2026, 8:24 p.m. |
Created at: March 20, 2026, 1:51 p.m.