Triple
T15302450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Viking FK |
E365821
|
entity |
| Predicate | manager |
P2962
|
FINISHED |
| Object |
Morten Jensen
Morten Jensen is a Norwegian football coach best known for managing top-flight club Viking FK.
|
E1170038
|
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: Morten Jensen | Statement: [Viking FK, manager, Morten Jensen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morten Jensen Context triple: [Viking FK, manager, Morten Jensen]
-
A.
Morten Rasmussen
Morten Rasmussen is a Danish former professional footballer known for his prolific goal-scoring as a striker, particularly in the Danish Superliga.
-
B.
Niels Jensen
Niels Jensen is a software entrepreneur best known as one of the founders of the software company Borland.
-
C.
Morten Borg
Morten Borg is a Norwegian figure known primarily as the father of Marius Borg Høiby, the eldest son of Norway’s Crown Princess Mette-Marit.
-
D.
Morten Sidek
Morten Sidek is a member of Malaysia’s renowned Sidek badminton family and the brother of legendary coach and player Misbun Sidek.
-
E.
Terje Hansen
Terje Hansen is an academic author known for co-authoring scholarly work with prominent economist and mathematician Herbert Scarf.
- 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: Morten Jensen Triple: [Viking FK, manager, Morten Jensen]
Generated description
Morten Jensen is a Norwegian football coach best known for managing top-flight club Viking FK.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Morten Jensen Target entity description: Morten Jensen is a Norwegian football coach best known for managing top-flight club Viking FK.
-
A.
Morten Rasmussen
Morten Rasmussen is a Danish former professional footballer known for his prolific goal-scoring as a striker, particularly in the Danish Superliga.
-
B.
Niels Jensen
Niels Jensen is a software entrepreneur best known as one of the founders of the software company Borland.
-
C.
Morten Borg
Morten Borg is a Norwegian figure known primarily as the father of Marius Borg Høiby, the eldest son of Norway’s Crown Princess Mette-Marit.
-
D.
Morten Sidek
Morten Sidek is a member of Malaysia’s renowned Sidek badminton family and the brother of legendary coach and player Misbun Sidek.
-
E.
Terje Hansen
Terje Hansen is an academic author known for co-authoring scholarly work with prominent economist and mathematician Herbert Scarf.
- 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03ccd575c8190aa43262d3b73ef3c |
completed | April 16, 2026, 1:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff677d34748190b5f723b5fd18b3a0 |
completed | May 9, 2026, 4:57 p.m. |
| NEDg | Description generation | batch_69ff6856260c8190b82b40c484f87211 |
completed | May 9, 2026, 5:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff68e8e2c08190b460e23fe24f05e9 |
completed | May 9, 2026, 5:03 p.m. |
Created at: April 10, 2026, 3:15 a.m.