Triple
T13306551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gerhart Hauptmann |
E316949
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Rose Bernd
Rose Bernd is a naturalist drama by Gerhart Hauptmann that portrays the tragic fate of a young peasant woman caught in social and moral conflicts.
|
E1032094
|
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: Rose Bernd | Statement: [Gerhart Hauptmann, notableWork, Rose Bernd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rose Bernd Context triple: [Gerhart Hauptmann, notableWork, Rose Bernd]
-
A.
Gretel Walter
Gretel Walter was the daughter of renowned German-born conductor Bruno Walter.
-
B.
Bettina
Bettina is a feminine given name of Hebrew origin, often considered a diminutive of Elisabeth or Benedetta and used in various European languages.
-
C.
Nelly Kröger
Nelly Kröger was the second wife of German novelist Heinrich Mann, known primarily through her connection to his life and literary circle.
-
D.
Verena Talbo
Verena Talbo is a character in the novel "The Grass Dancer" by Susan Power, known primarily through her fraught and antagonistic relationship with Dolly Talbo.
-
E.
Elke Büdenbender
Elke Büdenbender is a German judge who serves as the First Lady of Germany as the wife of President Frank-Walter Steinmeier.
- 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: Rose Bernd Triple: [Gerhart Hauptmann, notableWork, Rose Bernd]
Generated description
Rose Bernd is a naturalist drama by Gerhart Hauptmann that portrays the tragic fate of a young peasant woman caught in social and moral conflicts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rose Bernd Target entity description: Rose Bernd is a naturalist drama by Gerhart Hauptmann that portrays the tragic fate of a young peasant woman caught in social and moral conflicts.
-
A.
Gretel Walter
Gretel Walter was the daughter of renowned German-born conductor Bruno Walter.
-
B.
Bettina
Bettina is a feminine given name of Hebrew origin, often considered a diminutive of Elisabeth or Benedetta and used in various European languages.
-
C.
Nelly Kröger
Nelly Kröger was the second wife of German novelist Heinrich Mann, known primarily through her connection to his life and literary circle.
-
D.
Verena Talbo
Verena Talbo is a character in the novel "The Grass Dancer" by Susan Power, known primarily through her fraught and antagonistic relationship with Dolly Talbo.
-
E.
Elke Büdenbender
Elke Büdenbender is a German judge who serves as the First Lady of Germany as the wife of President Frank-Walter Steinmeier.
- 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_69d806b40ab4819094adf6c374f4811a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d990a8be108190bad0021f95ce3a93 |
completed | April 11, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716e3617081909eea9989cf5e7b30 |
completed | May 3, 2026, 9:35 a.m. |
| NEDg | Description generation | batch_69f7179da5488190a10acadbf60ea470 |
completed | May 3, 2026, 9:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f71847e7308190ac6f59a7dcafa452 |
completed | May 3, 2026, 9:41 a.m. |
Created at: April 9, 2026, 9:29 p.m.