Triple
T15565285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simon de Vlieger |
E371098
|
entity |
| Predicate | signatureForm |
P36288
|
FINISHED |
| Object |
S. de Vlieger
S. de Vlieger is the abbreviated signature used by the 17th-century Dutch marine and landscape painter Simon de Vlieger on his artworks.
|
E1164224
|
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: S. de Vlieger | Statement: [Simon de Vlieger, signatureForm, S. de Vlieger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: S. de Vlieger Context triple: [Simon de Vlieger, signatureForm, S. de Vlieger]
-
A.
Lumey van der Marck
Lumey van der Marck was a 16th-century Dutch nobleman and rebel commander who played a key role in the early stages of the Dutch Revolt against Spanish rule.
-
B.
Jan D'Alquen
Jan D'Alquen is a cinematographer best known for his work on the classic coming-of-age film "American Graffiti."
-
C.
Jean van Duren
Jean van Duren was an 18th-century publisher known for issuing the political treatise "Anti-Machiavel," often associated with Frederick the Great.
-
D.
Charles Van der Straeten
Charles Van der Straeten was a Belgian architect best known for designing the monumental Lion’s Mound at the Waterloo battlefield.
-
E.
Riet de Wit
Riet de Wit is a notable individual who shares the Dutch surname "De Wit," recognized among its distinguished bearers.
- 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: S. de Vlieger Triple: [Simon de Vlieger, signatureForm, S. de Vlieger]
Generated description
S. de Vlieger is the abbreviated signature used by the 17th-century Dutch marine and landscape painter Simon de Vlieger on his artworks.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: S. de Vlieger Target entity description: S. de Vlieger is the abbreviated signature used by the 17th-century Dutch marine and landscape painter Simon de Vlieger on his artworks.
-
A.
Lumey van der Marck
Lumey van der Marck was a 16th-century Dutch nobleman and rebel commander who played a key role in the early stages of the Dutch Revolt against Spanish rule.
-
B.
Jan D'Alquen
Jan D'Alquen is a cinematographer best known for his work on the classic coming-of-age film "American Graffiti."
-
C.
Jean van Duren
Jean van Duren was an 18th-century publisher known for issuing the political treatise "Anti-Machiavel," often associated with Frederick the Great.
-
D.
Charles Van der Straeten
Charles Van der Straeten was a Belgian architect best known for designing the monumental Lion’s Mound at the Waterloo battlefield.
-
E.
Riet de Wit
Riet de Wit is a notable individual who shares the Dutch surname "De Wit," recognized among its distinguished bearers.
- 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_69d85cc6cf40819091f4a5facee1ebe6 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ddd753c8190b51eaef433258081 |
completed | April 16, 2026, 2:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff456a3b08819092f9f517bbef5577 |
completed | May 9, 2026, 2:32 p.m. |
| NEDg | Description generation | batch_69ff49541fcc8190a1d22721bc255e19 |
completed | May 9, 2026, 2:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff49f6db508190b0127a59d332512e |
completed | May 9, 2026, 2:51 p.m. |
Created at: April 10, 2026, 4:10 a.m.