Triple
T22459182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A.F.Th. van der Heijden |
E555186
|
entity |
| Predicate | pseudonym |
P39
|
FINISHED |
| Object |
Tonio van der Heijden
Tonio van der Heijden is a pseudonym used by the prominent Dutch novelist A.F.Th. van der Heijden.
|
E1548893
|
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: Tonio van der Heijden | Statement: [A.F.Th. van der Heijden, pseudonym, Tonio van der Heijden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tonio van der Heijden Context triple: [A.F.Th. van der Heijden, pseudonym, Tonio van der Heijden]
-
A.
Piet van der Heijden
Piet van der Heijden was a key early visionary behind Efteling, helping shape the Dutch theme park’s development and identity.
-
B.
Michiel Riedijk
Michiel Riedijk is a Dutch architect, co-founder of the Rotterdam-based firm Neutelings Riedijk Architects, known for his expressive public and cultural buildings.
-
C.
Bas van der Vlies
Bas van der Vlies was a Dutch politician and long-serving parliamentary leader known for representing the orthodox Protestant principles of the Reformed Political Party (SGP).
-
D.
Frank van der Meijden
Frank van der Meijden is a Dutch local politician who serves as the mayor of the municipality of Laarbeek in the Netherlands.
-
E.
Johan Hoogewijs
Johan Hoogewijs is a Belgian composer best known for his film and television scores.
- 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: Tonio van der Heijden Triple: [A.F.Th. van der Heijden, pseudonym, Tonio van der Heijden]
Generated description
Tonio van der Heijden is a pseudonym used by the prominent Dutch novelist A.F.Th. van der Heijden.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tonio van der Heijden Target entity description: Tonio van der Heijden is a pseudonym used by the prominent Dutch novelist A.F.Th. van der Heijden.
-
A.
Piet van der Heijden
Piet van der Heijden was a key early visionary behind Efteling, helping shape the Dutch theme park’s development and identity.
-
B.
Michiel Riedijk
Michiel Riedijk is a Dutch architect, co-founder of the Rotterdam-based firm Neutelings Riedijk Architects, known for his expressive public and cultural buildings.
-
C.
Bas van der Vlies
Bas van der Vlies was a Dutch politician and long-serving parliamentary leader known for representing the orthodox Protestant principles of the Reformed Political Party (SGP).
-
D.
Frank van der Meijden
Frank van der Meijden is a Dutch local politician who serves as the mayor of the municipality of Laarbeek in the Netherlands.
-
E.
Johan Hoogewijs
Johan Hoogewijs is a Belgian composer best known for his film and television scores.
- 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_69e11e51fdec8190adfdf9f8a6362221 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b7e01fc8190825c3dc024484440 |
completed | April 29, 2026, 1:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b73d2d3b08190bc85181135ddc5db |
completed | May 18, 2026, 8:17 p.m. |
| NEDg | Description generation | batch_6a0b75ee79988190bbe911f6129f682b |
completed | May 18, 2026, 8:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b76656b1481909ff823a310c95fda |
completed | May 18, 2026, 8:28 p.m. |
Created at: April 16, 2026, 8:48 p.m.