Triple
T3941947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lange |
E92052
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Helmut Lange
Helmut Lange was a German actor known for his roles in film and television during the mid-20th century.
|
E791879
|
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: Helmut Lange | Statement: [Lange, hasNotableBearer, Helmut Lange]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Helmut Lange Context triple: [Lange, hasNotableBearer, Helmut Lange]
-
A.
Helmut Gröttrup
Helmut Gröttrup was a German engineer and rocket scientist who played a significant role in early missile development during and after World War II, later contributing to Soviet rocketry efforts.
-
B.
Werner Sauer
Werner Sauer is a person notable enough to be recognized as a significant bearer of the surname Sauer.
-
C.
Günter Franke
Günter Franke is a German architect best known for co-designing Berlin’s iconic Fernsehturm (TV Tower), a landmark of the city’s skyline and East German modernism.
-
D.
Gerhard Doerfer
Gerhard Doerfer was a German linguist renowned for his critical work on Turkic and other Central Asian languages and for his influential rejection of the proposed Altaic language family.
-
E.
Günter Sauer
Günter Sauer is a person notable enough to be recognized as a prominent bearer of the surname Sauer.
- 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: Helmut Lange Triple: [Lange, hasNotableBearer, Helmut Lange]
Generated description
Helmut Lange was a German actor known for his roles in film and television during the mid-20th century.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Helmut Lange Target entity description: Helmut Lange was a German actor known for his roles in film and television during the mid-20th century.
-
A.
Helmut Gröttrup
Helmut Gröttrup was a German engineer and rocket scientist who played a significant role in early missile development during and after World War II, later contributing to Soviet rocketry efforts.
-
B.
Werner Sauer
Werner Sauer is a person notable enough to be recognized as a significant bearer of the surname Sauer.
-
C.
Günter Franke
Günter Franke is a German architect best known for co-designing Berlin’s iconic Fernsehturm (TV Tower), a landmark of the city’s skyline and East German modernism.
-
D.
Gerhard Doerfer
Gerhard Doerfer was a German linguist renowned for his critical work on Turkic and other Central Asian languages and for his influential rejection of the proposed Altaic language family.
-
E.
Günter Sauer
Günter Sauer is a person notable enough to be recognized as a prominent bearer of the surname Sauer.
- 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_69aed965502c8190904ebad1203a4ae8 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeedfdffc48190a93ecb6115b2db33 |
completed | March 9, 2026, 3:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0c66e7c208190ac3cc8ace77c75e5 |
completed | April 4, 2026, 8:06 a.m. |
| NEDg | Description generation | batch_69d0c93366c481909eca1ae2272433c9 |
completed | April 4, 2026, 8:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0c9a9e6508190815a9988bd38da9b |
completed | April 4, 2026, 8:19 a.m. |
Created at: March 9, 2026, 3:24 p.m.