Triple
T144226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert |
E2918
|
entity |
| Predicate | hasCognate |
P2525
|
FINISHED |
| Object |
Robrecht
Robrecht is a Dutch and Flemish given name, cognate with Robert, traditionally borne by men in the Low Countries.
|
E23393
|
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: Robrecht | Statement: [Robert, hasCognate, Robrecht]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robrecht Context triple: [Robert, hasCognate, Robrecht]
-
A.
Royal Eijsbouts
Royal Eijsbouts is a renowned Dutch bell foundry and clockmaker known worldwide for casting large carillons and tower bells for churches, public buildings, and monuments.
-
B.
Willem
Willem is a given name, primarily used in Dutch-speaking regions, that corresponds to the English name William.
-
C.
De Croo
De Croo is a Belgian political family name most prominently associated with Alexander De Croo, the Prime Minister of Belgium.
-
D.
Erwin
Erwin is a masculine given name of German origin, historically associated with figures such as the World War II field marshal Erwin Rommel.
-
E.
Gerswalde
Gerswalde is a small rural municipality in the Uckermark district of Brandenburg, northeastern Germany.
- 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: Robrecht Triple: [Robert, hasCognate, Robrecht]
Generated description
Robrecht is a Dutch and Flemish given name, cognate with Robert, traditionally borne by men in the Low Countries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Robrecht Target entity description: Robrecht is a Dutch and Flemish given name, cognate with Robert, traditionally borne by men in the Low Countries.
-
A.
Royal Eijsbouts
Royal Eijsbouts is a renowned Dutch bell foundry and clockmaker known worldwide for casting large carillons and tower bells for churches, public buildings, and monuments.
-
B.
Willem
Willem is a given name, primarily used in Dutch-speaking regions, that corresponds to the English name William.
-
C.
De Croo
De Croo is a Belgian political family name most prominently associated with Alexander De Croo, the Prime Minister of Belgium.
-
D.
Erwin
Erwin is a masculine given name of German origin, historically associated with figures such as the World War II field marshal Erwin Rommel.
-
E.
Gerswalde
Gerswalde is a small rural municipality in the Uckermark district of Brandenburg, northeastern Germany.
- 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_69a2521e35c08190b28e5c9f1e3c9b59 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a257e935bc8190a03e54a10e9ba6f7 |
completed | Feb. 28, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2fd00c6b88190b5fc1180632cdb25 |
completed | Feb. 28, 2026, 2:34 p.m. |
| NEDg | Description generation | batch_69a2fdbc1edc8190b0647c4cbdabd03b |
completed | Feb. 28, 2026, 2:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a2fe3550d48190b965018ed4e577a9 |
completed | Feb. 28, 2026, 2:39 p.m. |
Created at: Feb. 28, 2026, 2:31 a.m.