Triple
T16338297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marek Hamšík |
E396731
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Marek |
E352681
|
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: Marek | Statement: [Marek Hamšík, givenName, Marek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marek Context triple: [Marek Hamšík, givenName, Marek]
-
A.
Marek
chosen
Marek is a common given name in several Slavic countries, equivalent to the Latin name Marcus.
-
B.
Maurusz
Maurusz is a Polish diminutive or affectionate form of the male given name Maurus (Maurycy).
-
C.
Marek Belka
Marek Belka is a Polish economist and politician who served as Prime Minister of Poland and later as president of the National Bank of Poland.
-
D.
Derdowski
Derdowski is a Polish surname most notably associated with the Kashubian-Polish poet and journalist Hieronim Derdowski.
-
E.
Milak
Milak is a border town in India’s Uttar Pradesh state, known as a road-linked crossing point on the route to Afghanistan via Zaranj.
- 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_69d87f26864c819088365ca381a003c2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2c4e6338081908aa03ee3dcbe5f70 |
completed | April 17, 2026, 11:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00261b31c08190908a72bff20871be |
completed | May 10, 2026, 6:30 a.m. |
Created at: April 10, 2026, 5:07 a.m.