Triple
T18632668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jacobsen |
E455460
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Rasmus Jacobsen
Rasmus Jacobsen is a personal name shared by multiple individuals, typically of Danish or Scandinavian origin.
|
E1347693
|
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: Rasmus Jacobsen | Statement: [Jacobsen, hasNotableBearer, Rasmus Jacobsen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rasmus Jacobsen Context triple: [Jacobsen, hasNotableBearer, Rasmus Jacobsen]
-
A.
Rasmus Heisterberg
Rasmus Heisterberg is a Danish screenwriter and filmmaker known for his work on acclaimed Nordic crime thrillers and literary adaptations.
-
B.
Rasmus Hedegaard
Rasmus Hedegaard is a Danish DJ and music producer known for his electronic and pop-oriented remixes and collaborations.
-
C.
Jesper Rasmussen
Jesper Rasmussen is a Danish professional footballer known for playing as a forward in Denmark’s top leagues.
-
D.
Rasmus Christensen
Rasmus Christensen is a Danish professional footballer known for playing as a defender in European club competitions.
-
E.
Kristian Andersen
Kristian Andersen is a prominent Danish-American evolutionary biologist and infectious disease researcher known for his work on viral genomics and the origins and spread of emerging pathogens.
- 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: Rasmus Jacobsen Triple: [Jacobsen, hasNotableBearer, Rasmus Jacobsen]
Generated description
Rasmus Jacobsen is a personal name shared by multiple individuals, typically of Danish or Scandinavian origin.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rasmus Jacobsen Target entity description: Rasmus Jacobsen is a personal name shared by multiple individuals, typically of Danish or Scandinavian origin.
-
A.
Rasmus Heisterberg
Rasmus Heisterberg is a Danish screenwriter and filmmaker known for his work on acclaimed Nordic crime thrillers and literary adaptations.
-
B.
Rasmus Hedegaard
Rasmus Hedegaard is a Danish DJ and music producer known for his electronic and pop-oriented remixes and collaborations.
-
C.
Jesper Rasmussen
Jesper Rasmussen is a Danish professional footballer known for playing as a forward in Denmark’s top leagues.
-
D.
Rasmus Christensen
Rasmus Christensen is a Danish professional footballer known for playing as a defender in European club competitions.
-
E.
Kristian Andersen
Kristian Andersen is a prominent Danish-American evolutionary biologist and infectious disease researcher known for his work on viral genomics and the origins and spread of emerging pathogens.
- 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_6a05829b679881909bfe7617f566c186 |
completed | May 14, 2026, 8:06 a.m. |
| NEDg | Description generation | batch_6a0584220c288190bbaf7d78b740f391 |
completed | May 14, 2026, 8:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0584b638bc819080051d2a60b76263 |
completed | May 14, 2026, 8:15 a.m. |
Created at: April 10, 2026, 11:46 a.m.