Triple
T14829980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grzymisława of Łuck |
E348673
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Grzymisława
Grzymisława was a medieval noblewoman, known as Grzymisława of Łuck, associated with the ruling elites of the historical region of Volhynia in Eastern Europe.
|
E1122259
|
NE FINISHED |
How this triple was built (4 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: Grzymisława | Statement: [Grzymisława of Łuck, givenName, Grzymisława]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grzymisława Context triple: [Grzymisława of Łuck, givenName, Grzymisława]
-
A.
Zofia
Zofia is a feminine given name of Slavic origin, particularly common in Poland and other Central and Eastern European countries.
-
B.
Wasilewska
Wasilewska is a Polish surname most notably associated with Wanda Wasilewska, a 20th-century Polish and Soviet writer and communist activist.
-
C.
Hala Gąsienicowa
Hala Gąsienicowa is a picturesque alpine meadow in the Polish Tatra Mountains, popular as a hiking hub and starting point for routes to surrounding peaks and lakes.
-
D.
Walewska
Walewska is a Polish surname most famously associated with Maria Walewska, a noblewoman known as the mistress of Napoleon Bonaparte.
-
E.
Krajewska
Krajewska is the feminine form of the Polish surname Krajewski.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Grzymisława Triple: [Grzymisława of Łuck, givenName, Grzymisława]
Generated description
Grzymisława was a medieval noblewoman, known as Grzymisława of Łuck, associated with the ruling elites of the historical region of Volhynia in Eastern Europe.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Grzymisława Target entity description: Grzymisława was a medieval noblewoman, known as Grzymisława of Łuck, associated with the ruling elites of the historical region of Volhynia in Eastern Europe.
-
A.
Zofia
Zofia is a feminine given name of Slavic origin, particularly common in Poland and other Central and Eastern European countries.
-
B.
Wasilewska
Wasilewska is a Polish surname most notably associated with Wanda Wasilewska, a 20th-century Polish and Soviet writer and communist activist.
-
C.
Hala Gąsienicowa
Hala Gąsienicowa is a picturesque alpine meadow in the Polish Tatra Mountains, popular as a hiking hub and starting point for routes to surrounding peaks and lakes.
-
D.
Walewska
Walewska is a Polish surname most famously associated with Maria Walewska, a noblewoman known as the mistress of Napoleon Bonaparte.
-
E.
Krajewska
Krajewska is the feminine form of the Polish surname Krajewski.
- F. None of above. chosen
Provenance (5 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_69d822ec69008190a9232caa68836872 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded0748eec8190a39c94024c3a3e3e |
completed | April 14, 2026, 11:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe38a16fd881909d246d8d1811a673 |
completed | May 8, 2026, 7:25 p.m. |
| NEDg | Description generation | batch_69fe502938dc8190892373403077cfdd |
completed | May 8, 2026, 9:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe509a02c08190bd2171b16584cd64 |
completed | May 8, 2026, 9:07 p.m. |
Created at: April 10, 2026, 1:51 a.m.