Triple
T13437813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilhelmina Cooper |
E320275
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Behmenburg
Behmenburg is the birth surname of Dutch-born American supermodel and influential 1960s–70s modeling agency founder Wilhelmina Cooper.
|
E1040436
|
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: Behmenburg | Statement: [Wilhelmina Cooper, familyName, Behmenburg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Behmenburg Context triple: [Wilhelmina Cooper, familyName, Behmenburg]
-
A.
Behmen
Behmen is the given name of Behmen von Bleibruck, a historical figure likely associated with German-speaking Central Europe.
-
B.
Benkheim
Benkheim is the former German name for the village now known as Banie Mazurskie in northeastern Poland.
-
C.
Berd
Berd is a small historic town in northeastern Armenia known for its medieval fortresses and scenic location in Tavush Province near the border with Azerbaijan.
-
D.
Degahabur
Degahabur is a town in eastern Ethiopia that serves as an administrative and commercial center within the Somali Region.
-
E.
Manuchehr
Manuchehr is a legendary king in Iranian mythology, celebrated in epic literature such as the Shahnameh as a just and heroic ruler of the early Pishdadian era.
- 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: Behmenburg Triple: [Wilhelmina Cooper, familyName, Behmenburg]
Generated description
Behmenburg is the birth surname of Dutch-born American supermodel and influential 1960s–70s modeling agency founder Wilhelmina Cooper.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Behmenburg Target entity description: Behmenburg is the birth surname of Dutch-born American supermodel and influential 1960s–70s modeling agency founder Wilhelmina Cooper.
-
A.
Behmen
Behmen is the given name of Behmen von Bleibruck, a historical figure likely associated with German-speaking Central Europe.
-
B.
Benkheim
Benkheim is the former German name for the village now known as Banie Mazurskie in northeastern Poland.
-
C.
Berd
Berd is a small historic town in northeastern Armenia known for its medieval fortresses and scenic location in Tavush Province near the border with Azerbaijan.
-
D.
Degahabur
Degahabur is a town in eastern Ethiopia that serves as an administrative and commercial center within the Somali Region.
-
E.
Manuchehr
Manuchehr is a legendary king in Iranian mythology, celebrated in epic literature such as the Shahnameh as a just and heroic ruler of the early Pishdadian era.
- 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_69d80761e6cc8190a90c844589998ecc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaee5ec488190bd0c1e990dbd2bc2 |
completed | April 12, 2026, 2:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7399215bc8190b846906b0f081e7f |
completed | May 3, 2026, 12:03 p.m. |
| NEDg | Description generation | batch_69f73bd79b8c8190bf91865e22bd41d0 |
completed | May 3, 2026, 12:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f73c45b0748190ab9b1b524d206c0d |
completed | May 3, 2026, 12:15 p.m. |
Created at: April 9, 2026, 9:40 p.m.