Triple
T4588716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arne Jacobsen |
E103431
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Jacobsen
Jacobsen is a common Danish surname borne by numerous notable figures in fields such as design, architecture, literature, and politics.
|
E455460
|
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: Jacobsen | Statement: [Arne Jacobsen, familyName, Jacobsen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jacobsen Context triple: [Arne Jacobsen, familyName, Jacobsen]
-
A.
Jacobs
Jacobs is a surname most notably associated with Harriet Jacobs, the African-American writer and abolitionist who authored the influential slave narrative "Incidents in the Life of a Slave Girl."
-
B.
Jenssen
Jenssen is a Scandinavian surname, particularly common in Norway, that originated as a patronymic form meaning "son of Jens."
-
C.
Johnsen
Johnsen is a surname of Scandinavian origin, commonly used as a patronymic family name meaning "son of John."
-
D.
Chosen Jacobs
Chosen Jacobs is an American actor and singer best known for his role as Mike Hanlon in the horror film "It" (2017) and its sequel.
-
E.
Eisenberg
Eisenberg is a surname most notably associated with American actress Hallie Kate Eisenberg.
- 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: Jacobsen Triple: [Arne Jacobsen, familyName, Jacobsen]
Generated description
Jacobsen is a common Danish surname borne by numerous notable figures in fields such as design, architecture, literature, and politics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jacobsen Target entity description: Jacobsen is a common Danish surname borne by numerous notable figures in fields such as design, architecture, literature, and politics.
-
A.
Jacobs
Jacobs is a surname most notably associated with Harriet Jacobs, the African-American writer and abolitionist who authored the influential slave narrative "Incidents in the Life of a Slave Girl."
-
B.
Jenssen
Jenssen is a Scandinavian surname, particularly common in Norway, that originated as a patronymic form meaning "son of Jens."
-
C.
Johnsen
Johnsen is a surname of Scandinavian origin, commonly used as a patronymic family name meaning "son of John."
-
D.
Chosen Jacobs
Chosen Jacobs is an American actor and singer best known for his role as Mike Hanlon in the horror film "It" (2017) and its sequel.
-
E.
Eisenberg
Eisenberg is a surname most notably associated with American actress Hallie Kate Eisenberg.
- 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_69bd43dccaf08190aa89e9991a289719 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd592115fc8190b1aee1d8bbaf1ee3 |
completed | March 20, 2026, 2:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bde0b9f700819082b0e5171132d0f3 |
completed | March 21, 2026, 12:05 a.m. |
| NEDg | Description generation | batch_69bde31735a481909d005e6c44e2f114 |
completed | March 21, 2026, 12:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bde6d185088190b94580f53038d883 |
completed | March 21, 2026, 12:31 a.m. |
Created at: March 20, 2026, 1:11 p.m.