Triple
T7567742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lund |
E178961
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Lundh
Lundh is a variant form of the Scandinavian surname Lund, which is associated with families originating from regions such as Sweden and Denmark.
|
E673972
|
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: Lundh | Statement: [Lund, hasVariant, Lundh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lundh Context triple: [Lund, hasVariant, Lundh]
-
A.
Hedlund
Hedlund is a surname most notably associated with American actor Garrett Hedlund, known for roles in films like "Tron: Legacy" and "Friday Night Lights."
-
B.
Söderblom
Söderblom is a Swedish surname most notably associated with Nathan Söderblom, the Nobel Peace Prize–winning Lutheran archbishop and ecumenical leader.
-
C.
Lindström
Lindström is a Swedish surname borne by various notable individuals in fields such as the arts, sports, and politics.
-
D.
Linderud
Linderud is a residential neighborhood in Oslo, Norway, known for its apartment blocks, shopping center, and access to public transportation.
-
E.
Lundie
Lundie is a small rural settlement in Angus, Scotland, situated near the Sidlaw Hills and known for its scenic countryside setting.
- 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: Lundh Triple: [Lund, hasVariant, Lundh]
Generated description
Lundh is a variant form of the Scandinavian surname Lund, which is associated with families originating from regions such as Sweden and Denmark.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lundh Target entity description: Lundh is a variant form of the Scandinavian surname Lund, which is associated with families originating from regions such as Sweden and Denmark.
-
A.
Hedlund
Hedlund is a surname most notably associated with American actor Garrett Hedlund, known for roles in films like "Tron: Legacy" and "Friday Night Lights."
-
B.
Söderblom
Söderblom is a Swedish surname most notably associated with Nathan Söderblom, the Nobel Peace Prize–winning Lutheran archbishop and ecumenical leader.
-
C.
Lindström
Lindström is a Swedish surname borne by various notable individuals in fields such as the arts, sports, and politics.
-
D.
Linderud
Linderud is a residential neighborhood in Oslo, Norway, known for its apartment blocks, shopping center, and access to public transportation.
-
E.
Lundie
Lundie is a small rural settlement in Angus, Scotland, situated near the Sidlaw Hills and known for its scenic countryside setting.
- 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_69c69f2f80288190b95cceb4da92ab2b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f91d9bfc8190af6f5f8211c3dda2 |
completed | March 27, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c856e0c23481908fc59ecc318840ba |
completed | March 28, 2026, 10:32 p.m. |
| NEDg | Description generation | batch_69c858e260d0819084df667d5aec53f7 |
completed | March 28, 2026, 10:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c859790e8881908a78449f40d528d8 |
completed | March 28, 2026, 10:43 p.m. |
Created at: March 27, 2026, 3:51 p.m.