Triple
T18632661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jacobsen |
E455460
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Ole Jacobsen
Ole Jacobsen is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Jacobsen.
|
E1375164
|
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: Ole Jacobsen | Statement: [Jacobsen, hasNotableBearer, Ole Jacobsen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ole Jacobsen Context triple: [Jacobsen, hasNotableBearer, Ole Jacobsen]
-
A.
Niels Jacobsen
Niels Jacobsen is a relatively common Scandinavian personal name shared by several notable individuals across fields such as business, architecture, and the arts.
-
B.
Hans Jacobsen
Hans Jacobsen is a person notable enough to be recognized as a significant bearer of the surname Jacobsen.
-
C.
Ole Christensen
Ole Christensen is a Danish mathematician known for his contributions to functional analysis and frame theory.
-
D.
Terje Hansen
Terje Hansen is an academic author known for co-authoring scholarly work with prominent economist and mathematician Herbert Scarf.
-
E.
Thue Christiansen
Thue Christiansen was a Greenlandic teacher, artist, and politician best known for creating Greenland’s national flag.
- 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: Ole Jacobsen Triple: [Jacobsen, hasNotableBearer, Ole Jacobsen]
Generated description
Ole Jacobsen is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Jacobsen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ole Jacobsen Target entity description: Ole Jacobsen is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Jacobsen.
-
A.
Niels Jacobsen
Niels Jacobsen is a relatively common Scandinavian personal name shared by several notable individuals across fields such as business, architecture, and the arts.
-
B.
Hans Jacobsen
Hans Jacobsen is a person notable enough to be recognized as a significant bearer of the surname Jacobsen.
-
C.
Ole Christensen
Ole Christensen is a Danish mathematician known for his contributions to functional analysis and frame theory.
-
D.
Terje Hansen
Terje Hansen is an academic author known for co-authoring scholarly work with prominent economist and mathematician Herbert Scarf.
-
E.
Thue Christiansen
Thue Christiansen was a Greenlandic teacher, artist, and politician best known for creating Greenland’s national flag.
- 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_69d8d38cc7948190a55ea64e5638994e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54fc5c7ec8190ab0c64f009583f96 |
completed | April 19, 2026, 9:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0733b49ddc81909157bd26d699a390 |
completed | May 15, 2026, 2:54 p.m. |
| NEDg | Description generation | batch_6a073491b60c8190a41a15410e865219 |
completed | May 15, 2026, 2:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a073545b2e48190a8cb78cb25785017 |
completed | May 15, 2026, 3:01 p.m. |
Created at: April 10, 2026, 11:46 a.m.