Triple
T1780891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zbigniew Brzezinski |
E39287
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Zbigniew
Zbigniew is a masculine Slavic given name, particularly common in Poland.
|
E206255
|
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: Zbigniew | Statement: [Zbigniew Brzezinski, givenName, Zbigniew]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zbigniew Context triple: [Zbigniew Brzezinski, givenName, Zbigniew]
-
A.
Stanislaw
Stanislaw is a masculine given name of Slavic origin, most notably borne by the Polish-American mathematician Stanislaw Ulam.
-
B.
Zbigniew Wojna
Zbigniew Wojna is a computer scientist and researcher known for his contributions to deep learning and computer vision, including coauthoring influential work with Christian Szegedy.
-
C.
Wiktor
Wiktor is a masculine given name, primarily used in Slavic countries, that corresponds to the name Victor.
-
D.
Jan Szczepański
Jan Szczepański was a Polish mountaineer known for participating in pioneering high-altitude ascents in the Andes.
-
E.
Wacław Hryniewicz
Wacław Hryniewicz was a Polish architect best known for designing the Polish War Cemetery at Monte Cassino, commemorating Polish soldiers who fell in the famous World War II battle.
- 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: Zbigniew Triple: [Zbigniew Brzezinski, givenName, Zbigniew]
Generated description
Zbigniew is a masculine Slavic given name, particularly common in Poland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zbigniew Target entity description: Zbigniew is a masculine Slavic given name, particularly common in Poland.
-
A.
Stanislaw
Stanislaw is a masculine given name of Slavic origin, most notably borne by the Polish-American mathematician Stanislaw Ulam.
-
B.
Zbigniew Wojna
Zbigniew Wojna is a computer scientist and researcher known for his contributions to deep learning and computer vision, including coauthoring influential work with Christian Szegedy.
-
C.
Wiktor
Wiktor is a masculine given name, primarily used in Slavic countries, that corresponds to the name Victor.
-
D.
Jan Szczepański
Jan Szczepański was a Polish mountaineer known for participating in pioneering high-altitude ascents in the Andes.
-
E.
Wacław Hryniewicz
Wacław Hryniewicz was a Polish architect best known for designing the Polish War Cemetery at Monte Cassino, commemorating Polish soldiers who fell in the famous World War II battle.
- 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_69a88630519c8190a17addd83c4a3ef4 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa64e22d6881909ba6ec120b320918 |
completed | March 6, 2026, 5:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adc9a4ee9c8190a6cdb5df16a48711 |
completed | March 8, 2026, 7:10 p.m. |
| NEDg | Description generation | batch_69adcc272dbc81909d1f9b007ba19448 |
completed | March 8, 2026, 7:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adcc9b53c4819090cf0659377c001b |
completed | March 8, 2026, 7:23 p.m. |
Created at: March 4, 2026, 7:31 p.m.