Triple
T377836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ludwig Göransson |
E8609
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Göransson
Göransson is a Swedish surname most notably borne by composer and record producer Ludwig Göransson.
|
E47484
|
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: Göransson | Statement: [Ludwig Göransson, familyName, Göransson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Göransson Context triple: [Ludwig Göransson, familyName, Göransson]
-
A.
Bäckström
Bäckström is a Swedish surname most prominently associated with NHL ice hockey star Nicklas Bäckström.
-
B.
Johan
Johan is the given first name of J. Erik Jonsson, an American businessman and philanthropist who co-founded Texas Instruments and served as mayor of Dallas.
-
C.
Gustaf
Gustaf is the given name of Carl Gustaf Emil Mannerheim, the Finnish military leader and statesman who served as Commander-in-Chief during World War II and later as President of Finland.
-
D.
Gunnar
Gunnar is a masculine given name of Old Norse origin, commonly used in Scandinavian countries and associated with warriors or bold fighters.
-
E.
Johan Nordström
Johan Nordström, better known as John W. Nordstrom, was a Swedish-American businessman who co-founded the upscale department store chain Nordstrom in the United States.
- 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: Göransson Triple: [Ludwig Göransson, familyName, Göransson]
Generated description
Göransson is a Swedish surname most notably borne by composer and record producer Ludwig Göransson.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Göransson Target entity description: Göransson is a Swedish surname most notably borne by composer and record producer Ludwig Göransson.
-
A.
Bäckström
Bäckström is a Swedish surname most prominently associated with NHL ice hockey star Nicklas Bäckström.
-
B.
Johan
Johan is the given first name of J. Erik Jonsson, an American businessman and philanthropist who co-founded Texas Instruments and served as mayor of Dallas.
-
C.
Gustaf
Gustaf is the given name of Carl Gustaf Emil Mannerheim, the Finnish military leader and statesman who served as Commander-in-Chief during World War II and later as President of Finland.
-
D.
Gunnar
Gunnar is a masculine given name of Old Norse origin, commonly used in Scandinavian countries and associated with warriors or bold fighters.
-
E.
Johan Nordström
Johan Nordström, better known as John W. Nordstrom, was a Swedish-American businessman who co-founded the upscale department store chain Nordstrom in the United States.
- 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_69a2e7f47dd08190a4e294ccbbe46cd4 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec1804108190a1e94526b71289ea |
completed | Feb. 28, 2026, 1:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3f4ded68c8190b6951c03fd75c404 |
completed | March 1, 2026, 8:12 a.m. |
| NEDg | Description generation | batch_69a3f5551aa4819083d49c02c5685fbd |
completed | March 1, 2026, 8:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3f5af51448190b77b55c0f8620419 |
completed | March 1, 2026, 8:15 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.