Triple
T18342373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jens Berthel Askou |
E439441
|
entity |
| Predicate | playedFor |
P2170
|
FINISHED |
| Object |
Silkeborg IF
Silkeborg IF is a Danish professional football club based in Silkeborg that competes in the country's top leagues and is known for developing domestic talent.
|
E1319906
|
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: Silkeborg IF | Statement: [Jens Berthel Askou, playedFor, Silkeborg IF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Silkeborg IF Context triple: [Jens Berthel Askou, playedFor, Silkeborg IF]
-
A.
Hvidovre IF
Hvidovre IF is a Danish football club known for developing notable players, including legendary goalkeeper Peter Schmeichel.
-
B.
Hammersborg
Hammersborg is a central neighborhood in Oslo, Norway, known for housing key government buildings and cultural institutions.
-
C.
Haderslev FK
Haderslev FK is a Danish football club based in the town of Haderslev.
-
D.
Holstebro Boldklub
Holstebro Boldklub is a Danish football club based in the town of Holstebro, competing in the lower tiers of the national league system and focusing on both senior and youth development.
-
E.
Randers FC
Randers FC is a professional Danish football club based in the city of Randers that competes in the Danish Superliga.
- 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: Silkeborg IF Triple: [Jens Berthel Askou, playedFor, Silkeborg IF]
Generated description
Silkeborg IF is a Danish professional football club based in Silkeborg that competes in the country's top leagues and is known for developing domestic talent.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Silkeborg IF Target entity description: Silkeborg IF is a Danish professional football club based in Silkeborg that competes in the country's top leagues and is known for developing domestic talent.
-
A.
Hvidovre IF
Hvidovre IF is a Danish football club known for developing notable players, including legendary goalkeeper Peter Schmeichel.
-
B.
Hammersborg
Hammersborg is a central neighborhood in Oslo, Norway, known for housing key government buildings and cultural institutions.
-
C.
Haderslev FK
Haderslev FK is a Danish football club based in the town of Haderslev.
-
D.
Holstebro Boldklub
Holstebro Boldklub is a Danish football club based in the town of Holstebro, competing in the lower tiers of the national league system and focusing on both senior and youth development.
-
E.
Randers FC
Randers FC is a professional Danish football club based in the city of Randers that competes in the Danish Superliga.
- 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_69d8b9175fec8190af865699b4e64d8c |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e514f0b5a881908056d48bc48124b8 |
completed | April 19, 2026, 5:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03cc21d5cc81909f8a154e400b02ad |
completed | May 13, 2026, 12:56 a.m. |
| NEDg | Description generation | batch_6a03d0debb7c8190b781d913052f3be3 |
completed | May 13, 2026, 1:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03d154ca208190bf1db64c3193cdb0 |
completed | May 13, 2026, 1:18 a.m. |
Created at: April 10, 2026, 10:37 a.m.