Triple
T22247796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Geert |
E549889
|
entity |
| Predicate | hasCognate |
P2525
|
FINISHED |
| Object |
Gertjan
Gertjan is a Dutch masculine given name, commonly used as a compound form related to names like Geert and Jan.
|
E1526884
|
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: Gertjan | Statement: [Geert, hasCognate, Gertjan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gertjan Context triple: [Geert, hasCognate, Gertjan]
-
A.
Guus
Guus is a Dutch given name most famously associated with football manager Guus Hiddink.
-
B.
Marino Keulen
Marino Keulen is a Belgian politician best known for serving as mayor of Lanaken and for his long-standing involvement in Flemish regional politics.
-
C.
Eduardo Noya Schreus
Eduardo Noya Schreus is a composer best known for creating the musical score for the film "Clouds of Sils Maria."
-
D.
Jeroen
Jeroen is a common Dutch male given name, often associated internationally with figures such as politician Jeroen Dijsselbloem.
-
E.
Marius Weyers
Marius Weyers is a South African actor best known internationally for his role in the film "The Gods Must Be Crazy" and for his extensive work in South African cinema and television.
- 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: Gertjan Triple: [Geert, hasCognate, Gertjan]
Generated description
Gertjan is a Dutch masculine given name, commonly used as a compound form related to names like Geert and Jan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gertjan Target entity description: Gertjan is a Dutch masculine given name, commonly used as a compound form related to names like Geert and Jan.
-
A.
Guus
Guus is a Dutch given name most famously associated with football manager Guus Hiddink.
-
B.
Marino Keulen
Marino Keulen is a Belgian politician best known for serving as mayor of Lanaken and for his long-standing involvement in Flemish regional politics.
-
C.
Eduardo Noya Schreus
Eduardo Noya Schreus is a composer best known for creating the musical score for the film "Clouds of Sils Maria."
-
D.
Jeroen
Jeroen is a common Dutch male given name, often associated internationally with figures such as politician Jeroen Dijsselbloem.
-
E.
Marius Weyers
Marius Weyers is a South African actor best known internationally for his role in the film "The Gods Must Be Crazy" and for his extensive work in South African cinema and television.
- 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_69e11e41d9408190bd770cf282e22753 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f13219dc3481908dd987c4e98623e6 |
completed | April 28, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ab65e6d088190b8ed638d8c57a243 |
completed | May 18, 2026, 6:49 a.m. |
| NEDg | Description generation | batch_6a0ab762ba7c8190a3a66c282de66392 |
completed | May 18, 2026, 6:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ab7dc8dc08190a65c0a454f018b41 |
completed | May 18, 2026, 6:55 a.m. |
Created at: April 16, 2026, 8:38 p.m.