Triple
T1498187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alfried Krupp von Bohlen und Halbach |
E29734
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Alfried
Alfried Krupp von Bohlen und Halbach was a German industrialist who led the Krupp steel and armaments conglomerate during and after World War II.
|
E176099
|
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: Alfried | Statement: [Alfried Krupp von Bohlen und Halbach, givenName, Alfried]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alfried Context triple: [Alfried Krupp von Bohlen und Halbach, givenName, Alfried]
-
A.
Alfréd
Alfréd is a given name, primarily used in Hungarian and other Central European languages, that is a variant of the name Alfred.
-
B.
Adelbert
Adelbert is a masculine given name of German origin, historically borne by figures such as the poet and naturalist Adelbert von Chamisso.
-
C.
Gerhard
Gerhard is a masculine given name of German origin, historically common in German-speaking countries.
-
D.
Wilhelm
Wilhelm is a Germanic given name, equivalent to William, historically borne by numerous European nobles, rulers, and notable figures.
-
E.
Aribert
Aribert is a Germanic given name, historically borne by medieval nobles and clergy, derived from elements meaning "army" and "bright."
- 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: Alfried Triple: [Alfried Krupp von Bohlen und Halbach, givenName, Alfried]
Generated description
Alfried Krupp von Bohlen und Halbach was a German industrialist who led the Krupp steel and armaments conglomerate during and after World War II.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alfried Target entity description: Alfried Krupp von Bohlen und Halbach was a German industrialist who led the Krupp steel and armaments conglomerate during and after World War II.
-
A.
Alfréd
Alfréd is a given name, primarily used in Hungarian and other Central European languages, that is a variant of the name Alfred.
-
B.
Adelbert
Adelbert is a masculine given name of German origin, historically borne by figures such as the poet and naturalist Adelbert von Chamisso.
-
C.
Gerhard
Gerhard is a masculine given name of German origin, historically common in German-speaking countries.
-
D.
Wilhelm
Wilhelm is a Germanic given name, equivalent to William, historically borne by numerous European nobles, rulers, and notable figures.
-
E.
Aribert
Aribert is a Germanic given name, historically borne by medieval nobles and clergy, derived from elements meaning "army" and "bright."
- 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_69a498dba1d8819093b46a3a8d2485f1 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c6ef5ce88190a6b520525a6d42a3 |
completed | March 1, 2026, 11:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad308bf1048190bc15a712e5ee0caa |
completed | March 8, 2026, 8:17 a.m. |
| NEDg | Description generation | batch_69ad3234bc508190a86647325df1d41a |
completed | March 8, 2026, 8:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad32ca046c81908bcdc3f76e65e4d0 |
completed | March 8, 2026, 8:26 a.m. |
Created at: March 1, 2026, 8:12 p.m.