Triple
T9213365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mads Nipper |
E221179
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object |
Grundfos
Grundfos is a Danish multinational company that is one of the world’s leading manufacturers of pumps and water technology solutions.
|
E785471
|
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: Grundfos | Statement: [Mads Nipper, employer, Grundfos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grundfos Context triple: [Mads Nipper, employer, Grundfos]
-
A.
Voith
Voith is a German multinational engineering company known for its technologies and services in sectors such as energy, paper, raw materials, and transportation.
-
B.
Goulds
Goulds is a suburban community within the city of St. John’s in Newfoundland and Labrador, Canada.
-
C.
Ebara
Ebara is a district within Tokyo’s Shinagawa ward, known as a primarily residential area with local shopping streets and traditional neighborhoods.
-
D.
Bosch
Bosch is a multinational engineering and technology company best known for its automotive components, industrial products, and household appliances.
-
E.
Bosch
Bosch is a critically acclaimed American crime drama television series centered on LAPD detective Harry Bosch, adapted from Michael Connelly’s bestselling novels.
- 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: Grundfos Triple: [Mads Nipper, employer, Grundfos]
Generated description
Grundfos is a Danish multinational company that is one of the world’s leading manufacturers of pumps and water technology solutions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Grundfos Target entity description: Grundfos is a Danish multinational company that is one of the world’s leading manufacturers of pumps and water technology solutions.
-
A.
Voith
Voith is a German multinational engineering company known for its technologies and services in sectors such as energy, paper, raw materials, and transportation.
-
B.
Goulds
Goulds is a suburban community within the city of St. John’s in Newfoundland and Labrador, Canada.
-
C.
Ebara
Ebara is a district within Tokyo’s Shinagawa ward, known as a primarily residential area with local shopping streets and traditional neighborhoods.
-
D.
Bosch
Bosch is a multinational engineering and technology company best known for its automotive components, industrial products, and household appliances.
-
E.
Bosch
Bosch is a critically acclaimed American crime drama television series centered on LAPD detective Harry Bosch, adapted from Michael Connelly’s bestselling novels.
- 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_69ca83eae42c8190a0ea9e040710a277 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccda05406081909893bec3a092d3ce |
completed | April 1, 2026, 8:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d06613daf88190a0128fd53ea1b134 |
completed | April 4, 2026, 1:15 a.m. |
| NEDg | Description generation | batch_69d0678b89ac8190b807e1c3b457a503 |
completed | April 4, 2026, 1:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0688d4c388190bb024b03cc86d08f |
completed | April 4, 2026, 1:25 a.m. |
Created at: March 30, 2026, 7:27 p.m.