Triple
T7481492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Armin, Prince of Lippe |
E176767
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Traute Becker
Traute Becker was the wife of Armin, Prince of Lippe, and thus a member of the German princely House of Lippe.
|
E674314
|
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: Traute Becker | Statement: [Armin, Prince of Lippe, spouse, Traute Becker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Traute Becker Context triple: [Armin, Prince of Lippe, spouse, Traute Becker]
-
A.
Gertrud Strube
Gertrud Strube was the wife of German pathologist and Nobel laureate Gerhard Domagk, known for his pioneering work in antibacterial chemotherapy.
-
B.
Gjertrud Schnackenberg
Gjertrud Schnackenberg is an American poet acclaimed for her intellectually rich, formally intricate verse and contributions to contemporary literature.
-
C.
Helene Weber
Helene Weber was a German politician and one of the few women involved in drafting both the Weimar and post–World War II German constitutions.
-
D.
Adelheid Wendt
Adelheid Wendt was the mother of renowned German conductor and composer Wilhelm Furtwängler.
-
E.
Jutta Steinruck
Jutta Steinruck is a German politician who serves as the mayor of Ludwigshafen am Rhein and has been active in both local and European politics.
- 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: Traute Becker Triple: [Armin, Prince of Lippe, spouse, Traute Becker]
Generated description
Traute Becker was the wife of Armin, Prince of Lippe, and thus a member of the German princely House of Lippe.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Traute Becker Target entity description: Traute Becker was the wife of Armin, Prince of Lippe, and thus a member of the German princely House of Lippe.
-
A.
Gertrud Strube
Gertrud Strube was the wife of German pathologist and Nobel laureate Gerhard Domagk, known for his pioneering work in antibacterial chemotherapy.
-
B.
Gjertrud Schnackenberg
Gjertrud Schnackenberg is an American poet acclaimed for her intellectually rich, formally intricate verse and contributions to contemporary literature.
-
C.
Helene Weber
Helene Weber was a German politician and one of the few women involved in drafting both the Weimar and post–World War II German constitutions.
-
D.
Adelheid Wendt
Adelheid Wendt was the mother of renowned German conductor and composer Wilhelm Furtwängler.
-
E.
Jutta Steinruck
Jutta Steinruck is a German politician who serves as the mayor of Ludwigshafen am Rhein and has been active in both local and European politics.
- 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_69c69f236ce08190a04d7679f03b29b2 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f534aa388190b3bb3e16be3a54c8 |
completed | March 27, 2026, 9:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8613eaf0c8190b33cb22dd83ee59c |
completed | March 28, 2026, 11:16 p.m. |
| NEDg | Description generation | batch_69c861c305c08190a09589d840aba410 |
completed | March 28, 2026, 11:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8627e9a6c8190baf4e8bb113845f1 |
completed | March 28, 2026, 11:21 p.m. |
Created at: March 27, 2026, 3:42 p.m.