Triple
T17375903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dino Toppmöller |
E422437
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Toppmöller
Toppmöller is a German surname most notably associated with football figures such as coach and former player Dino Toppmöller.
|
E1265674
|
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: Toppmöller | Statement: [Dino Toppmöller, familyName, Toppmöller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toppmöller Context triple: [Dino Toppmöller, familyName, Toppmöller]
-
A.
Moberg
Moberg is a Swedish surname most famously associated with Vilhelm Moberg, the renowned author of the "The Emigrants" series about Swedish migration to America.
-
B.
Hjølmo
Hjølmo is a small rural area in the municipality of Eidfjord in Vestland county, Norway, known for its scenic fjord and mountain surroundings.
-
C.
Mellerud
Mellerud is a small town in western Sweden known for its location by Lake Vänern and its role as a local service and transport hub.
-
D.
Tällberg
Tällberg is a traditional Swedish village in the Dalarna region, known for its well-preserved wooden houses, scenic views, and tourism by Lake Siljan.
-
E.
Tengbom
Tengbom is a prominent Swedish architectural firm known for its influential role in shaping modern Scandinavian architecture.
- 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: Toppmöller Triple: [Dino Toppmöller, familyName, Toppmöller]
Generated description
Toppmöller is a German surname most notably associated with football figures such as coach and former player Dino Toppmöller.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Toppmöller Target entity description: Toppmöller is a German surname most notably associated with football figures such as coach and former player Dino Toppmöller.
-
A.
Moberg
Moberg is a Swedish surname most famously associated with Vilhelm Moberg, the renowned author of the "The Emigrants" series about Swedish migration to America.
-
B.
Hjølmo
Hjølmo is a small rural area in the municipality of Eidfjord in Vestland county, Norway, known for its scenic fjord and mountain surroundings.
-
C.
Mellerud
Mellerud is a small town in western Sweden known for its location by Lake Vänern and its role as a local service and transport hub.
-
D.
Tällberg
Tällberg is a traditional Swedish village in the Dalarna region, known for its well-preserved wooden houses, scenic views, and tourism by Lake Siljan.
-
E.
Tengbom
Tengbom is a prominent Swedish architectural firm known for its influential role in shaping modern Scandinavian architecture.
- 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_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a6c864481908507290282cc6d25 |
completed | April 19, 2026, 2:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a019ff1611c8190a17beb1e23397f02 |
completed | May 11, 2026, 9:22 a.m. |
| NEDg | Description generation | batch_6a01a078ae4881909ee0e192032909fd |
completed | May 11, 2026, 9:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01a0d9e5348190931ee4df49563ea5 |
completed | May 11, 2026, 9:26 a.m. |
Created at: April 10, 2026, 5:45 a.m.