Triple
T7783256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sten Carl Bielke |
E187175
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Sten
Sten is a Scandinavian male given name of Old Norse origin, commonly associated with Sweden and meaning "stone."
|
E693437
|
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: Sten | Statement: [Sten Carl Bielke, givenName, Sten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sten Context triple: [Sten Carl Bielke, givenName, Sten]
-
A.
Stange
Stange is a rural municipality in Innlandet county, Norway, known for its agricultural landscape and proximity to the town of Hamar.
-
B.
Stod
Stod is a small town in the Plzeň Region of the Czech Republic that serves as a local administrative and service center for surrounding municipalities.
-
C.
Stec
Stec is a Polish surname borne by various notable individuals in fields such as aviation, sports, and the arts.
-
D.
Stans
Stans is a surname most notably associated with Maurice Stans, a U.S. Secretary of Commerce and key figure in the Nixon administration and Watergate scandal.
-
E.
Stäket
Stäket is a locality in the northern Stockholm region of Sweden, situated within Järfälla Municipality and known for its residential areas and proximity to Lake Mälaren.
- 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: Sten Triple: [Sten Carl Bielke, givenName, Sten]
Generated description
Sten is a Scandinavian male given name of Old Norse origin, commonly associated with Sweden and meaning "stone."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sten Target entity description: Sten is a Scandinavian male given name of Old Norse origin, commonly associated with Sweden and meaning "stone."
-
A.
Stange
Stange is a rural municipality in Innlandet county, Norway, known for its agricultural landscape and proximity to the town of Hamar.
-
B.
Stod
Stod is a small town in the Plzeň Region of the Czech Republic that serves as a local administrative and service center for surrounding municipalities.
-
C.
Stec
Stec is a Polish surname borne by various notable individuals in fields such as aviation, sports, and the arts.
-
D.
Stans
Stans is a surname most notably associated with Maurice Stans, a U.S. Secretary of Commerce and key figure in the Nixon administration and Watergate scandal.
-
E.
Stäket
Stäket is a locality in the northern Stockholm region of Sweden, situated within Järfälla Municipality and known for its residential areas and proximity to Lake Mälaren.
- 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_69ca82af2d2c8190963861f5e0b8bf21 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cadf1f9c648190ac2b06d0d54035ea |
completed | March 30, 2026, 8:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69caf5e400d881909d6cdeb7eaac3a59 |
completed | March 30, 2026, 10:15 p.m. |
| NEDg | Description generation | batch_69caf81ebde881909bd131da8987b449 |
completed | March 30, 2026, 10:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cafa013f348190a2067dee4a0c8c40 |
completed | March 30, 2026, 10:32 p.m. |
Created at: March 30, 2026, 4:22 p.m.