Triple
T3107442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Otto Kerner Sr. |
E64865
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Kerner
Kerner is a German-language surname borne by various notable individuals in politics, arts, and other fields.
|
E326891
|
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: Kerner | Statement: [Otto Kerner Sr., familyName, Kerner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kerner Context triple: [Otto Kerner Sr., familyName, Kerner]
-
A.
Krueger
Krueger is a German-origin surname borne by numerous notable individuals across fields such as military, politics, arts, and academia.
-
B.
Kaiser
Kaiser is the German imperial title historically used by the emperors of the German and Austro-Hungarian Empires, derived from the name and concept of the Roman "Caesar."
-
C.
Keyserling
Keyserling is a surname most notably associated with Leon H. Keyserling, an influential American economist and former chairman of the U.S. Council of Economic Advisers.
-
D.
Kahn
Kahn is a surname most famously associated with Louis Kahn, the influential 20th-century architect known for his monumental and timeless modernist buildings.
-
E.
Keeler
Keeler is a surname most notably associated with James Edward Keeler, an American astronomer known for his pioneering work on Saturn's rings and spectroscopy.
- 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: Kerner Triple: [Otto Kerner Sr., familyName, Kerner]
Generated description
Kerner is a German-language surname borne by various notable individuals in politics, arts, and other fields.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kerner Target entity description: Kerner is a German-language surname borne by various notable individuals in politics, arts, and other fields.
-
A.
Krueger
Krueger is a German-origin surname borne by numerous notable individuals across fields such as military, politics, arts, and academia.
-
B.
Kaiser
Kaiser is the German imperial title historically used by the emperors of the German and Austro-Hungarian Empires, derived from the name and concept of the Roman "Caesar."
-
C.
Keyserling
Keyserling is a surname most notably associated with Leon H. Keyserling, an influential American economist and former chairman of the U.S. Council of Economic Advisers.
-
D.
Kahn
Kahn is a surname most famously associated with Louis Kahn, the influential 20th-century architect known for his monumental and timeless modernist buildings.
-
E.
Keeler
Keeler is a surname most notably associated with James Edward Keeler, an American astronomer known for his pioneering work on Saturn's rings and spectroscopy.
- 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_69ad857eeaf48190b34ebfdaa7a264cf |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada29d4aa8819093287bc71370fc05 |
completed | March 8, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2038c89248190b880108c82ad35b1 |
completed | March 12, 2026, 12:06 a.m. |
| NEDg | Description generation | batch_69b2046f76488190adef6685544b080e |
completed | March 12, 2026, 12:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2054bca388190ad40b2303ac96373 |
completed | March 12, 2026, 12:14 a.m. |
Created at: March 8, 2026, 3:04 p.m.