Triple
T7659036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christensen |
E173455
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Ole Christensen
Ole Christensen is a Danish mathematician known for his contributions to functional analysis and frame theory.
|
E688896
|
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 Christensen | Statement: [Christensen, hasNotableBearer, Ole Christensen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ole Christensen Context triple: [Christensen, hasNotableBearer, Ole Christensen]
-
A.
Ole Hassager
Ole Hassager is a Danish chemical engineer and rheologist known for his contributions to the study of complex fluid mechanics and coauthoring influential texts in the field.
-
B.
Thue Christiansen
Thue Christiansen was a Greenlandic teacher, artist, and politician best known for creating Greenland’s national flag.
-
C.
Knud Olsen
Knud Olsen was a Norwegian shipbuilder best known for constructing the polar exploration vessel Gjøa used by Roald Amundsen.
-
D.
Jorgen Holmboe
Jorgen Holmboe was a Norwegian-American meteorologist known for his contributions to dynamic meteorology and weather forecasting theory.
-
E.
Morten Ristorp
Morten Ristorp is a Danish songwriter and producer known for his work on international pop and R&B hits.
- 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 Christensen Triple: [Christensen, hasNotableBearer, Ole Christensen]
Generated description
Ole Christensen is a Danish mathematician known for his contributions to functional analysis and frame theory.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ole Christensen Target entity description: Ole Christensen is a Danish mathematician known for his contributions to functional analysis and frame theory.
-
A.
Ole Hassager
Ole Hassager is a Danish chemical engineer and rheologist known for his contributions to the study of complex fluid mechanics and coauthoring influential texts in the field.
-
B.
Thue Christiansen
Thue Christiansen was a Greenlandic teacher, artist, and politician best known for creating Greenland’s national flag.
-
C.
Knud Olsen
Knud Olsen was a Norwegian shipbuilder best known for constructing the polar exploration vessel Gjøa used by Roald Amundsen.
-
D.
Jorgen Holmboe
Jorgen Holmboe was a Norwegian-American meteorologist known for his contributions to dynamic meteorology and weather forecasting theory.
-
E.
Morten Ristorp
Morten Ristorp is a Danish songwriter and producer known for his work on international pop and R&B hits.
- 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_69c69955517c819085bc715b96d304d2 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c701a32f588190a7a923e8ce43f727 |
completed | March 27, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8e575c22481908a6779f5d496bd3a |
completed | March 29, 2026, 8:40 a.m. |
| NEDg | Description generation | batch_69c8e667a4c48190aee42aa003c4202b |
completed | March 29, 2026, 8:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8e6f7ae88819085e600a1266580d3 |
completed | March 29, 2026, 8:46 a.m. |
Created at: March 27, 2026, 3:59 p.m.