Triple
T22742413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johan August Gripenstedt |
E562448
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Gripenstedt
Gripenstedt is the surname of a Swedish noble family historically associated with influential politicians and statesmen.
|
E1553134
|
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: Gripenstedt | Statement: [Johan August Gripenstedt, familyName, Gripenstedt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gripenstedt Context triple: [Johan August Gripenstedt, familyName, Gripenstedt]
-
A.
Stavsnäs
Stavsnäs is a coastal village and locality in Värmdö Municipality in Stockholm County, Sweden, known as a key ferry and boating hub in the Stockholm archipelago.
-
B.
Strömholm
Strömholm is a Swedish surname most notably associated with Stig Strömholm, a prominent jurist and academic.
-
C.
Bollstanäs
Bollstanäs is a residential locality in Sweden situated within the suburban area of Upplands Väsby, north of Stockholm.
-
D.
Hägersten
Hägersten is a residential district in southern Stockholm, Sweden, known for its mix of apartment blocks, green areas, and proximity to the city center.
-
E.
Gnesta
Gnesta is a small town in Södermanland County, Sweden, known for its lakeside setting and role as a local commercial and transport hub.
- 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: Gripenstedt Triple: [Johan August Gripenstedt, familyName, Gripenstedt]
Generated description
Gripenstedt is the surname of a Swedish noble family historically associated with influential politicians and statesmen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gripenstedt Target entity description: Gripenstedt is the surname of a Swedish noble family historically associated with influential politicians and statesmen.
-
A.
Stavsnäs
Stavsnäs is a coastal village and locality in Värmdö Municipality in Stockholm County, Sweden, known as a key ferry and boating hub in the Stockholm archipelago.
-
B.
Strömholm
Strömholm is a Swedish surname most notably associated with Stig Strömholm, a prominent jurist and academic.
-
C.
Bollstanäs
Bollstanäs is a residential locality in Sweden situated within the suburban area of Upplands Väsby, north of Stockholm.
-
D.
Hägersten
Hägersten is a residential district in southern Stockholm, Sweden, known for its mix of apartment blocks, green areas, and proximity to the city center.
-
E.
Gnesta
Gnesta is a small town in Södermanland County, Sweden, known for its lakeside setting and role as a local commercial and transport hub.
- 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_69e245513a5c81908d5cb471b4fc429d |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1797400fc8190bec26726f434f787 |
completed | April 29, 2026, 3:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b980f3c208190a704f48a7368a826 |
completed | May 18, 2026, 10:51 p.m. |
| NEDg | Description generation | batch_6a0b98954a9881909678948515cd60a4 |
completed | May 18, 2026, 10:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b994f07188190b17a710a84159494 |
completed | May 18, 2026, 10:57 p.m. |
Created at: April 17, 2026, 3:23 p.m.