Triple
T14738912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nikolaj Malchow-Møller |
E346290
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Malchow-Møller
Malchow-Møller is the surname of Danish economist and academic leader Nikolaj Malchow-Møller.
|
E1118031
|
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: Malchow-Møller | Statement: [Nikolaj Malchow-Møller, familyName, Malchow-Møller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malchow-Møller Context triple: [Nikolaj Malchow-Møller, familyName, Malchow-Møller]
-
A.
Møller
Møller is a Danish surname most prominently associated with the shipping magnate Mærsk Mc-Kinney Møller and the A.P. Moller–Maersk business dynasty.
-
B.
Sandvig
Sandvig is a coastal village on the northern tip of the Danish island of Bornholm, known for its scenic rocky shoreline and role as part of the twin town Allinge-Sandvig.
-
C.
Merrild
Merrild is a coffee brand and company known primarily in Northern Europe, offering a range of ground and whole-bean coffees.
-
D.
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.
-
E.
Meyerhof
Meyerhof is a surname of German origin, notably borne by biochemist Otto Fritz Meyerhof, a Nobel laureate recognized for his work on muscle metabolism.
- 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: Malchow-Møller Triple: [Nikolaj Malchow-Møller, familyName, Malchow-Møller]
Generated description
Malchow-Møller is the surname of Danish economist and academic leader Nikolaj Malchow-Møller.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Malchow-Møller Target entity description: Malchow-Møller is the surname of Danish economist and academic leader Nikolaj Malchow-Møller.
-
A.
Møller
Møller is a Danish surname most prominently associated with the shipping magnate Mærsk Mc-Kinney Møller and the A.P. Moller–Maersk business dynasty.
-
B.
Sandvig
Sandvig is a coastal village on the northern tip of the Danish island of Bornholm, known for its scenic rocky shoreline and role as part of the twin town Allinge-Sandvig.
-
C.
Merrild
Merrild is a coffee brand and company known primarily in Northern Europe, offering a range of ground and whole-bean coffees.
-
D.
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.
-
E.
Meyerhof
Meyerhof is a surname of German origin, notably borne by biochemist Otto Fritz Meyerhof, a Nobel laureate recognized for his work on muscle metabolism.
- 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_69d822e6f1c88190bc494d491a907114 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec73264848190be23c5f0260cbe13 |
completed | April 14, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdfb91fdf88190bdcc9a93289f6b7f |
completed | May 8, 2026, 3:04 p.m. |
| NEDg | Description generation | batch_69fe032bd640819081f4ea36a1503c21 |
completed | May 8, 2026, 3:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe04120db08190aa903ccc6ddd2267 |
completed | May 8, 2026, 3:41 p.m. |
Created at: April 10, 2026, 1:29 a.m.