Triple
T9853766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haas |
E239533
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
De Haas
De Haas is a surname of Dutch origin, often associated with individuals and families in the Netherlands and abroad.
|
E825048
|
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: De Haas | Statement: [Haas, hasVariant, De Haas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: De Haas Context triple: [Haas, hasVariant, De Haas]
-
A.
Van der Madeweg
Van der Madeweg is a metro station in Amsterdam that serves as a stop on the city's rapid transit network.
-
B.
Goudriaan
Goudriaan is a small village in the Dutch province of South Holland, known for its rural character and historic polder landscape.
-
C.
De Horst
De Horst is a village in the Dutch province of Gelderland, known as part of the municipality of Berg en Dal near the city of Nijmegen.
-
D.
De Haan
De Haan is a seaside resort town on the Belgian coast, known for its Belle Époque architecture and beaches.
-
E.
Goudswaard
Goudswaard is a small village in the Dutch province of South Holland, known for its rural character and location on the island of Hoeksche Waard.
- 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: De Haas Triple: [Haas, hasVariant, De Haas]
Generated description
De Haas is a surname of Dutch origin, often associated with individuals and families in the Netherlands and abroad.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: De Haas Target entity description: De Haas is a surname of Dutch origin, often associated with individuals and families in the Netherlands and abroad.
-
A.
Van der Madeweg
Van der Madeweg is a metro station in Amsterdam that serves as a stop on the city's rapid transit network.
-
B.
Goudriaan
Goudriaan is a small village in the Dutch province of South Holland, known for its rural character and historic polder landscape.
-
C.
De Horst
De Horst is a village in the Dutch province of Gelderland, known as part of the municipality of Berg en Dal near the city of Nijmegen.
-
D.
De Haan
De Haan is a seaside resort town on the Belgian coast, known for its Belle Époque architecture and beaches.
-
E.
Goudswaard
Goudswaard is a small village in the Dutch province of South Holland, known for its rural character and location on the island of Hoeksche Waard.
- 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_69ca84e4fdc08190a624425bcef98665 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb376d32c819089381cf6ed83629d |
completed | April 2, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1d5f21a04819099f23ede55ec3417 |
completed | April 5, 2026, 3:24 a.m. |
| NEDg | Description generation | batch_69d1d7a6a87c81908dcd79c776bb19a1 |
completed | April 5, 2026, 3:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1d82007088190ac372c67a6760e65 |
completed | April 5, 2026, 3:33 a.m. |
Created at: March 30, 2026, 8:34 p.m.