Triple
T16816687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jakub Jasiński |
E408769
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Jakub |
E49733
|
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: Jakub | Statement: [Jakub Jasiński, givenName, Jakub]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jakub Context triple: [Jakub Jasiński, givenName, Jakub]
-
A.
Jakub
chosen
Jakub is a given name, common in Slavic countries, that is a cognate of the Latin name Iacomus (James).
-
B.
Jacek
Jacek is a common Polish male given name, often associated with notable figures in Polish politics, arts, and academia.
-
C.
Jakob
Jakob is the given name of Johann Jakob Kaup, a 19th-century German naturalist and zoologist known for his work in classifying vertebrates.
-
D.
Jarek
Jarek is a masculine given name, commonly used in Slavic countries, often as a diminutive or variant of names like Jarosław.
-
E.
Lukáš
Lukáš is a common Czech and Slovak male given name, equivalent to Lucas or Luke in English.
- 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_69d88394566c8190b3dcbdc72935f7fa |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b2e1de908190aa3508770fb865cf |
completed | April 18, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00b297778c81909a2545c359739151 |
completed | May 10, 2026, 4:30 p.m. |
Created at: April 10, 2026, 5:23 a.m.