Triple
T9919372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wacław Hryniewicz |
E185950
|
entity |
| Predicate | hasGivenName |
P17
|
FINISHED |
| Object | Wacław |
E656915
|
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: Wacław | Statement: [Wacław Hryniewicz, hasGivenName, Wacław]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wacław Context triple: [Wacław Hryniewicz, hasGivenName, Wacław]
-
A.
Wacław
chosen
Wacław is a Polish given name, equivalent to the name Wenceslaus or Wenzel in other Central European languages.
-
B.
Wincenty
Wincenty is a masculine given name of Slavic origin, particularly common in Poland.
-
C.
Lucjan
Lucjan is a masculine given name of Latin origin, commonly used in Poland and other Slavic countries.
-
D.
Kazimierz
Kazimierz is a historic district of Kraków known for its rich Jewish heritage, medieval architecture, and vibrant cultural life.
-
E.
Jędrzej
Jędrzej is a Polish male given name, traditionally used as a regional or archaic form of the name Andrzej (Andrew).
- 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_69ca829b45f481909040f7b99a1976ed |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb5685a908190ab3e55b9bf9613f6 |
completed | April 2, 2026, 12:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d20df77f208190b550b888bf7b55ea |
completed | April 5, 2026, 7:23 a.m. |
Created at: March 30, 2026, 8:42 p.m.