Triple
T13164130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henryk Jabłoński |
E312802
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Jabłoński
Jabłoński is a Polish surname borne by numerous notable figures in fields such as politics, science, and the arts.
|
E1023640
|
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: Jabłoński | Statement: [Henryk Jabłoński, familyName, Jabłoński]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jabłoński Context triple: [Henryk Jabłoński, familyName, Jabłoński]
-
A.
Jabłonka
Jabłonka is a village in southern Poland that serves as the seat of Gmina Jabłonka in the Lesser Poland Voivodeship.
-
B.
Zbyszko
Zbyszko is a Polish given name, traditionally used as a diminutive or variant of Zbigniew and known from medieval and literary contexts.
-
C.
Ciechocinek
Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
-
D.
Jaworzyna Krynicka
Jaworzyna Krynicka is a prominent mountain in southern Poland’s Beskid Sądecki range, known for its ski resort, hiking trails, and cable car access near the spa town of Krynica-Zdrój.
-
E.
Jeziorański
Jeziorański is a Polish surname most notably borne by Jan Nowak-Jeziorański, a famed World War II courier and later influential journalist and politician.
- 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: Jabłoński Triple: [Henryk Jabłoński, familyName, Jabłoński]
Generated description
Jabłoński is a Polish surname borne by numerous notable figures in fields such as politics, science, and the arts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jabłoński Target entity description: Jabłoński is a Polish surname borne by numerous notable figures in fields such as politics, science, and the arts.
-
A.
Jabłonka
Jabłonka is a village in southern Poland that serves as the seat of Gmina Jabłonka in the Lesser Poland Voivodeship.
-
B.
Zbyszko
Zbyszko is a Polish given name, traditionally used as a diminutive or variant of Zbigniew and known from medieval and literary contexts.
-
C.
Ciechocinek
Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
-
D.
Jaworzyna Krynicka
Jaworzyna Krynicka is a prominent mountain in southern Poland’s Beskid Sądecki range, known for its ski resort, hiking trails, and cable car access near the spa town of Krynica-Zdrój.
-
E.
Jeziorański
Jeziorański is a Polish surname most notably borne by Jan Nowak-Jeziorański, a famed World War II courier and later influential journalist and politician.
- 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_69d806ac3ee081909b2fd27d060aa974 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c0bf5a48190bf245dceee24b579 |
completed | April 10, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eaf6c9ec8190bc0097d62e57e52a |
completed | May 3, 2026, 6:28 a.m. |
| NEDg | Description generation | batch_69f6ee07aa988190ad8bb3bc3ecf7890 |
completed | May 3, 2026, 6:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6eef335b481908dbe6fb93c9d56f2 |
completed | May 3, 2026, 6:45 a.m. |
Created at: April 9, 2026, 9:13 p.m.