Triple
T11718842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Westphal |
E278573
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Westphal
Westphal is a German-origin surname borne by various notable individuals in fields such as sports, politics, and academia.
|
E942777
|
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: Westphal | Statement: [Paul Westphal, familyName, Westphal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Westphal Context triple: [Paul Westphal, familyName, Westphal]
-
A.
Landsberg
Landsberg is a town in the Saalekreis district of the German state of Saxony-Anhalt.
-
B.
Riemst
Riemst is a municipality in the Belgian province of Limburg, known for its rural character and location near the borders with the Netherlands and Germany.
-
C.
Gersfeld
Gersfeld is a small German town in the state of Hesse, known as a gateway to the Rhön Mountains and a base for outdoor activities like hiking and winter sports.
-
D.
Duderstadt
Duderstadt is a historic small town in southern Lower Saxony, Germany, known for its well-preserved medieval timber-framed architecture and role as a regional center in the Eichsfeld area.
-
E.
Nassau-Siegen
Nassau-Siegen was a German county in the Holy Roman Empire centered on the town of Siegen and ruled by a branch of the House of Nassau.
- 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: Westphal Triple: [Paul Westphal, familyName, Westphal]
Generated description
Westphal is a German-origin surname borne by various notable individuals in fields such as sports, politics, and academia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Westphal Target entity description: Westphal is a German-origin surname borne by various notable individuals in fields such as sports, politics, and academia.
-
A.
Landsberg
Landsberg is a town in the Saalekreis district of the German state of Saxony-Anhalt.
-
B.
Riemst
Riemst is a municipality in the Belgian province of Limburg, known for its rural character and location near the borders with the Netherlands and Germany.
-
C.
Gersfeld
Gersfeld is a small German town in the state of Hesse, known as a gateway to the Rhön Mountains and a base for outdoor activities like hiking and winter sports.
-
D.
Duderstadt
Duderstadt is a historic small town in southern Lower Saxony, Germany, known for its well-preserved medieval timber-framed architecture and role as a regional center in the Eichsfeld area.
-
E.
Nassau-Siegen
Nassau-Siegen was a German county in the Holy Roman Empire centered on the town of Siegen and ruled by a branch of the House of Nassau.
- 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_69d6aaff2ce88190b4a1e4b341ad5377 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4c26e4c8190ae30d906b4fd4221 |
completed | April 10, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef83b9131c819085f7bcab902c3763 |
completed | April 27, 2026, 3:41 p.m. |
| NEDg | Description generation | batch_69ef96b13be881908102ffa867f96c22 |
completed | April 27, 2026, 5:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69efb51113708190998b570c33b9d0e7 |
completed | April 27, 2026, 7:12 p.m. |
Created at: April 8, 2026, 9:40 p.m.