Triple
T7684303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mieczysław Biegun |
E174075
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Biegun
Biegun is a Polish surname borne by various individuals, including figures in politics, academia, and the arts.
|
E682075
|
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: Biegun | Statement: [Mieczysław Biegun, familyName, Biegun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Biegun Context triple: [Mieczysław Biegun, familyName, Biegun]
-
A.
Bogrod
Bogrod is a goblin banker who works at Gringotts Wizarding Bank in the Harry Potter series.
-
B.
Bisztynek
Bisztynek is a small historic town in northern Poland, located in the Warmian-Masurian Voivodeship and known for its traditional architecture and regional cultural heritage.
-
C.
Ciecere
Ciecere is a river in western Latvia that serves as one of the tributaries of the Venta River.
-
D.
Bierko
Bierko is the surname of American actor and singer Craig Bierko, known for his work in film, television, and Broadway.
-
E.
Nowra
Nowra is a regional town in New South Wales, Australia, situated on the Shoalhaven River and serving as a commercial and administrative centre for the surrounding South Coast area.
- 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: Biegun Triple: [Mieczysław Biegun, familyName, Biegun]
Generated description
Biegun is a Polish surname borne by various individuals, including figures in politics, academia, and the arts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Biegun Target entity description: Biegun is a Polish surname borne by various individuals, including figures in politics, academia, and the arts.
-
A.
Bogrod
Bogrod is a goblin banker who works at Gringotts Wizarding Bank in the Harry Potter series.
-
B.
Bisztynek
Bisztynek is a small historic town in northern Poland, located in the Warmian-Masurian Voivodeship and known for its traditional architecture and regional cultural heritage.
-
C.
Ciecere
Ciecere is a river in western Latvia that serves as one of the tributaries of the Venta River.
-
D.
Bierko
Bierko is the surname of American actor and singer Craig Bierko, known for his work in film, television, and Broadway.
-
E.
Nowra
Nowra is a regional town in New South Wales, Australia, situated on the Shoalhaven River and serving as a commercial and administrative centre for the surrounding South Coast area.
- 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_69c6995840408190a19de6c51090f46f |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7021ed6008190a1522b46110e677e |
completed | March 27, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8a257af0c8190ba1a2693a42b9ebe |
completed | March 29, 2026, 3:53 a.m. |
| NEDg | Description generation | batch_69c8a7d596b081909f79b2a741b10a8f |
completed | March 29, 2026, 4:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8a82f67308190be0636dd783f30f5 |
completed | March 29, 2026, 4:18 a.m. |
Created at: March 27, 2026, 4:01 p.m.