Triple
T14241837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Józef Cyrankiewicz |
E353026
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Józef |
E251273
|
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: Józef | Statement: [Józef Cyrankiewicz, givenName, Józef]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Józef Context triple: [Józef Cyrankiewicz, givenName, Józef]
-
A.
Józef
chosen
Józef is a masculine given name of Hebrew origin, widely used in Poland and other Slavic countries as a form of Joseph.
-
B.
Lucjan
Lucjan is a masculine given name of Latin origin, commonly used in Poland and other Slavic countries.
-
C.
Jędrzej
Jędrzej is a Polish male given name, traditionally used as a regional or archaic form of the name Andrzej (Andrew).
-
D.
Jerzy
Jerzy is a masculine given name of Slavic origin, particularly common in Poland as the equivalent of George.
-
E.
Janusz
Janusz is a masculine given name of Polish origin commonly used in Poland and among Polish communities.
- 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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6244ad188190b9d9db7914240410 |
completed | April 14, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd28235880819094f5983cce01b0fc |
completed | May 8, 2026, 12:02 a.m. |
Created at: April 10, 2026, 1:08 a.m.