Triple
T811969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saab 93 |
E17564
|
entity |
| Predicate | designer |
P184
|
FINISHED |
| Object |
Sixten Sason
Sixten Sason was a pioneering Swedish industrial designer best known for shaping Saab’s early automobiles and helping define the brand’s distinctive aerodynamic style.
|
E97886
|
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: Sixten Sason | Statement: [Saab 93, designer, Sixten Sason]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sixten Sason Context triple: [Saab 93, designer, Sixten Sason]
-
A.
Vilailuck Teigen
Vilailuck Teigen is a Thai-American television personality and social media figure best known as the mother of model and author Chrissy Teigen.
-
B.
Lyness
Lyness is a small coastal village and former naval base on the island of Hoy in Orkney, Scotland.
-
C.
Kasha Kropinski
Kasha Kropinski is a South African-born actress best known for her role as Ruth Cole on the American Western television series "Hell on Wheels."
-
D.
Nilsen
Nilsen is a surname, primarily of Scandinavian origin, that serves as a variant spelling of Nelson.
-
E.
Julanne Johnston
Julanne Johnston was an American silent film actress best known for her role opposite Douglas Fairbanks in the classic 1924 fantasy film "The Thief of Bagdad."
- 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: Sixten Sason Triple: [Saab 93, designer, Sixten Sason]
Generated description
Sixten Sason was a pioneering Swedish industrial designer best known for shaping Saab’s early automobiles and helping define the brand’s distinctive aerodynamic style.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sixten Sason Target entity description: Sixten Sason was a pioneering Swedish industrial designer best known for shaping Saab’s early automobiles and helping define the brand’s distinctive aerodynamic style.
-
A.
Vilailuck Teigen
Vilailuck Teigen is a Thai-American television personality and social media figure best known as the mother of model and author Chrissy Teigen.
-
B.
Lyness
Lyness is a small coastal village and former naval base on the island of Hoy in Orkney, Scotland.
-
C.
Kasha Kropinski
Kasha Kropinski is a South African-born actress best known for her role as Ruth Cole on the American Western television series "Hell on Wheels."
-
D.
Nilsen
Nilsen is a surname, primarily of Scandinavian origin, that serves as a variant spelling of Nelson.
-
E.
Julanne Johnston
Julanne Johnston was an American silent film actress best known for her role opposite Douglas Fairbanks in the classic 1924 fantasy film "The Thief of Bagdad."
- 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_69a4937ae8a08190b5084a03d532b30e |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4ab4c7418819085cb64c6bf5fa70c |
completed | March 1, 2026, 9:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a76d8869888190a95857546dfae5b3 |
completed | March 3, 2026, 11:23 p.m. |
| NEDg | Description generation | batch_69a78e436c048190b31b53fff1c48f1d |
completed | March 4, 2026, 1:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a78eb80f6081908257889efaff6d33 |
completed | March 4, 2026, 1:45 a.m. |
Created at: March 1, 2026, 7:38 p.m.