Triple
T1990222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leopold Philip de Heister |
E43234
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
de Heister
De Heister is a German noble family name historically associated with military officers and aristocrats, including the Hessian general Leopold Philip de Heister.
|
E221460
|
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 Heister | Statement: [Leopold Philip de Heister, familyName, de Heister]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: de Heister Context triple: [Leopold Philip de Heister, familyName, de Heister]
-
A.
Heinsius
Heinsius is a Dutch surname most notably associated with Anthonie Heinsius, a prominent statesman of the Dutch Republic in the late 17th and early 18th centuries.
-
B.
Hein
Hein is a Dutch surname most notably borne by Piet Hein, a renowned 17th-century naval officer and folk hero of the Dutch Republic.
-
C.
Heinrici
Heinrici is a German surname most notably associated with Gotthard Heinrici, a senior Wehrmacht general during World War II.
-
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.
Bertramus
Bertramus is a Latinized variant of the given name Bertram, historically used in medieval and ecclesiastical contexts.
- 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 Heister Triple: [Leopold Philip de Heister, familyName, de Heister]
Generated description
De Heister is a German noble family name historically associated with military officers and aristocrats, including the Hessian general Leopold Philip de Heister.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: de Heister Target entity description: De Heister is a German noble family name historically associated with military officers and aristocrats, including the Hessian general Leopold Philip de Heister.
-
A.
Heinsius
Heinsius is a Dutch surname most notably associated with Anthonie Heinsius, a prominent statesman of the Dutch Republic in the late 17th and early 18th centuries.
-
B.
Hein
Hein is a Dutch surname most notably borne by Piet Hein, a renowned 17th-century naval officer and folk hero of the Dutch Republic.
-
C.
Heinrici
Heinrici is a German surname most notably associated with Gotthard Heinrici, a senior Wehrmacht general during World War II.
-
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.
Bertramus
Bertramus is a Latinized variant of the given name Bertram, historically used in medieval and ecclesiastical contexts.
- 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_69a88714cf2c819081644be450b8356e |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb8434cec819087842e2c9537df9e |
completed | March 7, 2026, 5:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae0336177c8190bb9d3d921fff13e8 |
completed | March 8, 2026, 11:16 p.m. |
| NEDg | Description generation | batch_69ae03b52ed08190a8c8fb8f81073bb3 |
completed | March 8, 2026, 11:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae0433b90c81909af348d9a3dcdbec |
completed | March 8, 2026, 11:20 p.m. |
Created at: March 4, 2026, 7:37 p.m.