Triple
T13443189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Polestar |
E320415
|
entity |
| Predicate | hasCEO |
P2568
|
FINISHED |
| Object |
Thomas Ingenlath
Thomas Ingenlath is an automotive executive and designer best known as the CEO of the electric performance car brand Polestar.
|
E1041739
|
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: Thomas Ingenlath | Statement: [Polestar, hasCEO, Thomas Ingenlath]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thomas Ingenlath Context triple: [Polestar, hasCEO, Thomas Ingenlath]
-
A.
Tord Magnuson
Tord Magnuson is a Swedish businessman and nobleman best known as the husband of Princess Christina of Sweden.
-
B.
Lars Jansson
Lars Jansson was a Finnish comic strip artist and writer best known for continuing and expanding the beloved Moomin comic series originally created by his sister Tove Jansson.
-
C.
Helge Backlund
Helge Backlund was a mountaineer known for making the first recorded ascent of Newtontoppen, the highest peak in Svalbard.
-
D.
Adam Englund
Adam Englund is the son of American film director and producer George Englund.
-
E.
Tore Hägglund
Tore Hägglund is a control engineer and researcher known for his influential work in automatic tuning of PID controllers and industrial process control, often in collaboration with Karl J. Åström.
- 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: Thomas Ingenlath Triple: [Polestar, hasCEO, Thomas Ingenlath]
Generated description
Thomas Ingenlath is an automotive executive and designer best known as the CEO of the electric performance car brand Polestar.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thomas Ingenlath Target entity description: Thomas Ingenlath is an automotive executive and designer best known as the CEO of the electric performance car brand Polestar.
-
A.
Tord Magnuson
Tord Magnuson is a Swedish businessman and nobleman best known as the husband of Princess Christina of Sweden.
-
B.
Lars Jansson
Lars Jansson was a Finnish comic strip artist and writer best known for continuing and expanding the beloved Moomin comic series originally created by his sister Tove Jansson.
-
C.
Helge Backlund
Helge Backlund was a mountaineer known for making the first recorded ascent of Newtontoppen, the highest peak in Svalbard.
-
D.
Adam Englund
Adam Englund is the son of American film director and producer George Englund.
-
E.
Tore Hägglund
Tore Hägglund is a control engineer and researcher known for his influential work in automatic tuning of PID controllers and industrial process control, often in collaboration with Karl J. Åström.
- 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_69d80761e6cc8190a90c844589998ecc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaee881888190811ddf01bc699864 |
completed | April 12, 2026, 2:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f739965ef081909e85881ce805bbb5 |
completed | May 3, 2026, 12:03 p.m. |
| NEDg | Description generation | batch_69f740e536d48190af369b38aa42438d |
completed | May 3, 2026, 12:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f741b72d08819087808bf9bcffa0a1 |
completed | May 3, 2026, 12:38 p.m. |
Created at: April 9, 2026, 9:40 p.m.