Triple
T2801927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hugo de Groot |
E53166
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
de Groot
De Groot is a Dutch surname most famously associated with the jurist and philosopher Hugo Grotius (Hugo de Groot), a foundational figure in international law.
|
E299816
|
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 Groot | Statement: [Hugo de Groot, familyName, de Groot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: de Groot Context triple: [Hugo de Groot, familyName, de Groot]
-
A.
Bete Denagel
Bete Denagel is one of the rock-hewn monolithic churches in the historic Ethiopian town of Lalibela, renowned for its medieval Christian architecture and religious significance.
-
B.
Evert
Evert is a given name and surname of Germanic origin, used as a variant of names like Everett.
-
C.
Sylvester Groth
Sylvester Groth is a German actor known for his work in film, television, and theater, including roles in historical dramas and international productions.
-
D.
Toni Merkens
Toni Merkens was a German track cyclist best known for winning the gold medal in the sprint event at the 1936 Berlin Olympics.
-
E.
Jo Willems
Jo Willems is a Belgian cinematographer known for his work on feature films, including the horror movie "30 Days of Night," as well as music videos and television projects.
- 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 Groot Triple: [Hugo de Groot, familyName, de Groot]
Generated description
De Groot is a Dutch surname most famously associated with the jurist and philosopher Hugo Grotius (Hugo de Groot), a foundational figure in international law.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: de Groot Target entity description: De Groot is a Dutch surname most famously associated with the jurist and philosopher Hugo Grotius (Hugo de Groot), a foundational figure in international law.
-
A.
Bete Denagel
Bete Denagel is one of the rock-hewn monolithic churches in the historic Ethiopian town of Lalibela, renowned for its medieval Christian architecture and religious significance.
-
B.
Evert
Evert is a given name and surname of Germanic origin, used as a variant of names like Everett.
-
C.
Sylvester Groth
Sylvester Groth is a German actor known for his work in film, television, and theater, including roles in historical dramas and international productions.
-
D.
Toni Merkens
Toni Merkens was a German track cyclist best known for winning the gold medal in the sprint event at the 1936 Berlin Olympics.
-
E.
Jo Willems
Jo Willems is a Belgian cinematographer known for his work on feature films, including the horror movie "30 Days of Night," as well as music videos and television projects.
- 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_69ab495a90788190941b6917e1eca3a6 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abde1117148190b0c98f906f1c872e |
completed | March 7, 2026, 8:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc66d1e488190a4b85decfb38097f |
completed | March 10, 2026, 7:21 a.m. |
| NEDg | Description generation | batch_69afc8b12b848190ad514eed2d26a90f |
completed | March 10, 2026, 7:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afc9413e1881908fc091b98913e1cf |
completed | March 10, 2026, 7:33 a.m. |
Created at: March 6, 2026, 9:58 p.m.