Triple
T950646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | H. A. Maaskant |
E20512
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Maaskant
Maaskant is a Dutch surname most notably associated with architect Hugh Aart (H.A.) Maaskant, known for his influential post-war modernist buildings in the Netherlands.
|
E118001
|
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: Maaskant | Statement: [H. A. Maaskant, familyName, Maaskant]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maaskant Context triple: [H. A. Maaskant, familyName, Maaskant]
-
A.
Maalla
Maalla is a district of the port city of Aden in Yemen, historically significant as part of the former British-controlled Colony of Aden.
-
B.
Terra da Garoa
Terra da Garoa is a popular nickname for the Brazilian metropolis of São Paulo, alluding to its characteristic light, misty rain.
-
C.
Malaita
Malaita is one of the main islands of the Solomon Islands in the South Pacific, known for its large population, rich traditional culture, and historical role in regional labor trade.
-
D.
Riasti
Riasti is a regional dialect of the Saraiki language spoken primarily in parts of southern Punjab, Pakistan.
-
E.
Nain
Nain is a remote coastal town in northern Labrador, Canada, known as the administrative center of the Inuit region of Nunatsiavut.
- 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: Maaskant Triple: [H. A. Maaskant, familyName, Maaskant]
Generated description
Maaskant is a Dutch surname most notably associated with architect Hugh Aart (H.A.) Maaskant, known for his influential post-war modernist buildings in the Netherlands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maaskant Target entity description: Maaskant is a Dutch surname most notably associated with architect Hugh Aart (H.A.) Maaskant, known for his influential post-war modernist buildings in the Netherlands.
-
A.
Maalla
Maalla is a district of the port city of Aden in Yemen, historically significant as part of the former British-controlled Colony of Aden.
-
B.
Terra da Garoa
Terra da Garoa is a popular nickname for the Brazilian metropolis of São Paulo, alluding to its characteristic light, misty rain.
-
C.
Malaita
Malaita is one of the main islands of the Solomon Islands in the South Pacific, known for its large population, rich traditional culture, and historical role in regional labor trade.
-
D.
Riasti
Riasti is a regional dialect of the Saraiki language spoken primarily in parts of southern Punjab, Pakistan.
-
E.
Nain
Nain is a remote coastal town in northern Labrador, Canada, known as the administrative center of the Inuit region of Nunatsiavut.
- 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_69a493b0f2fc81908cd227480a5356a1 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3d62e408190855b2883407f6c6b |
completed | March 1, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac2a0f4e088190b2fcd01e9475ff5d |
completed | March 7, 2026, 1:37 p.m. |
| NEDg | Description generation | batch_69ac2a8dd818819088e6140e9a12594b |
completed | March 7, 2026, 1:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac2af2efd88190b1da673aa3ead5fd |
completed | March 7, 2026, 1:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.