Triple
T5933769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pernod Ricard |
E131995
|
entity |
| Predicate | brandPortfolioIncludes |
P18121
|
FINISHED |
| Object |
Wyborowa
Wyborowa is a historic Polish vodka brand known for its rye-based spirit and international presence in the premium vodka market.
|
E555265
|
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: Wyborowa | Statement: [Pernod Ricard, brandPortfolioIncludes, Wyborowa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wyborowa Context triple: [Pernod Ricard, brandPortfolioIncludes, Wyborowa]
-
A.
Komorowska
Komorowska is a Polish surname borne by various notable individuals in Poland.
-
B.
Wasilewska
Wasilewska is a Polish surname most notably associated with Wanda Wasilewska, a 20th-century Polish and Soviet writer and communist activist.
-
C.
Jarosław
Jarosław is a historic town in southeastern Poland known for its well-preserved Old Town and role as a former important trade center.
-
D.
Walewska
Walewska is a Polish surname most famously associated with Maria Walewska, a noblewoman known as the mistress of Napoleon Bonaparte.
-
E.
Kazimierz
Kazimierz is a historic district of Kraków known for its rich Jewish heritage, medieval architecture, and vibrant cultural life.
- 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: Wyborowa Triple: [Pernod Ricard, brandPortfolioIncludes, Wyborowa]
Generated description
Wyborowa is a historic Polish vodka brand known for its rye-based spirit and international presence in the premium vodka market.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wyborowa Target entity description: Wyborowa is a historic Polish vodka brand known for its rye-based spirit and international presence in the premium vodka market.
-
A.
Komorowska
Komorowska is a Polish surname borne by various notable individuals in Poland.
-
B.
Wasilewska
Wasilewska is a Polish surname most notably associated with Wanda Wasilewska, a 20th-century Polish and Soviet writer and communist activist.
-
C.
Jarosław
Jarosław is a historic town in southeastern Poland known for its well-preserved Old Town and role as a former important trade center.
-
D.
Walewska
Walewska is a Polish surname most famously associated with Maria Walewska, a noblewoman known as the mistress of Napoleon Bonaparte.
-
E.
Kazimierz
Kazimierz is a historic district of Kraków known for its rich Jewish heritage, medieval architecture, and vibrant cultural life.
- 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_69c0085c55dc8190aa90e242c956e2fa |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0389f6fc881909527b928838ffcdd |
completed | March 22, 2026, 6:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c064d2a4819096085668182cfde1 |
completed | March 23, 2026, 4:24 a.m. |
| NEDg | Description generation | batch_69c0c109b3288190928dc4539a2872c2 |
completed | March 23, 2026, 4:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0c1f6fe60819080a00976740b6a9c |
completed | March 23, 2026, 4:30 a.m. |
Created at: March 22, 2026, 4 p.m.