Triple
T408078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Konrad Adenauer |
E9425
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Konrad
Konrad is a masculine given name of German origin, historically borne by several notable figures including statesmen, nobles, and religious leaders.
|
E60724
|
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: Konrad | Statement: [Konrad Adenauer, givenName, Konrad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Konrad Context triple: [Konrad Adenauer, givenName, Konrad]
-
A.
Erwin
Erwin is a masculine given name of German origin, historically associated with figures such as the World War II field marshal Erwin Rommel.
-
B.
Karl
Karl is the given name of German Field Marshal Gerd von Rundstedt, a prominent military leader during World War II.
-
C.
Karol
Karol is the given name of Pope John Paul II, the Polish-born head of the Catholic Church from 1978 to 2005.
-
D.
Adelbert
Adelbert is a masculine given name of German origin, historically borne by figures such as the poet and naturalist Adelbert von Chamisso.
-
E.
Hermann
Hermann Minkowski was a German mathematician best known for developing the geometric formulation of special relativity using four-dimensional spacetime.
- 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: Konrad Triple: [Konrad Adenauer, givenName, Konrad]
Generated description
Konrad is a masculine given name of German origin, historically borne by several notable figures including statesmen, nobles, and religious leaders.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Konrad Target entity description: Konrad is a masculine given name of German origin, historically borne by several notable figures including statesmen, nobles, and religious leaders.
-
A.
Erwin
Erwin is a masculine given name of German origin, historically associated with figures such as the World War II field marshal Erwin Rommel.
-
B.
Karl
Karl is the given name of German Field Marshal Gerd von Rundstedt, a prominent military leader during World War II.
-
C.
Karol
Karol is the given name of Pope John Paul II, the Polish-born head of the Catholic Church from 1978 to 2005.
-
D.
Adelbert
Adelbert is a masculine given name of German origin, historically borne by figures such as the poet and naturalist Adelbert von Chamisso.
-
E.
Hermann
Hermann Minkowski was a German mathematician best known for developing the geometric formulation of special relativity using four-dimensional spacetime.
- 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_69a2e80111fc8190961d5b7c6154123f |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2ecbf0650819080753815ca280eec |
completed | Feb. 28, 2026, 1:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a47469d5248190a14f44d53a3e6e8f |
completed | March 1, 2026, 5:16 p.m. |
| NEDg | Description generation | batch_69a474f7dd508190bbae3bb5215456ea |
completed | March 1, 2026, 5:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4755a8e588190a47997c603dc0ead |
completed | March 1, 2026, 5:20 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.