Triple
T13306545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gerhart Hauptmann |
E316949
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Die Weber
Die Weber is a naturalistic drama by Gerhart Hauptmann that portrays the suffering and uprising of Silesian weavers in the 19th century.
|
E1032090
|
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: Die Weber | Statement: [Gerhart Hauptmann, notableWork, Die Weber]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Die Weber Context triple: [Gerhart Hauptmann, notableWork, Die Weber]
-
A.
Weber
Weber is a common German surname borne by numerous notable individuals across fields such as sociology, music, and politics.
-
B.
Weißgerber
Weißgerber is a neighborhood in Vienna’s 3rd district, known for its historic architecture and the famous Hundertwasserhaus.
-
C.
Wiebe
Wiebe is a given name and surname of Frisian and Dutch origin, used in various forms across the Netherlands and surrounding regions.
-
D.
De Wilp
De Wilp is a village in the Dutch province of Groningen, known for its rural character and location near the border with Friesland.
-
E.
The Heldrich
The Heldrich is a modern hotel and conference center located in downtown New Brunswick, New Jersey, known for hosting business events, meetings, and upscale accommodations.
- 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: Die Weber Triple: [Gerhart Hauptmann, notableWork, Die Weber]
Generated description
Die Weber is a naturalistic drama by Gerhart Hauptmann that portrays the suffering and uprising of Silesian weavers in the 19th century.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Die Weber Target entity description: Die Weber is a naturalistic drama by Gerhart Hauptmann that portrays the suffering and uprising of Silesian weavers in the 19th century.
-
A.
Weber
Weber is a common German surname borne by numerous notable individuals across fields such as sociology, music, and politics.
-
B.
Weißgerber
Weißgerber is a neighborhood in Vienna’s 3rd district, known for its historic architecture and the famous Hundertwasserhaus.
-
C.
Wiebe
Wiebe is a given name and surname of Frisian and Dutch origin, used in various forms across the Netherlands and surrounding regions.
-
D.
De Wilp
De Wilp is a village in the Dutch province of Groningen, known for its rural character and location near the border with Friesland.
-
E.
The Heldrich
The Heldrich is a modern hotel and conference center located in downtown New Brunswick, New Jersey, known for hosting business events, meetings, and upscale accommodations.
- 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.