Triple
T4705454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A. R. Penck |
E104381
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Systembilder
Systembilder is a series of abstract, symbol-laden paintings by German artist A. R. Penck that explore systems theory, communication, and social structures through simplified pictographic forms.
|
E462203
|
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: Systembilder | Statement: [A. R. Penck, notableWork, Systembilder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Systembilder Context triple: [A. R. Penck, notableWork, Systembilder]
-
A.
System
System is a core .NET namespace that provides fundamental classes and base types essential for building .NET applications.
-
B.
System1
System1 is a digital marketing and customer acquisition company specializing in data-driven advertising and online performance-based media.
-
C.
Sistema
Sistema is a consumer food storage and kitchenware brand known for its reusable plastic containers and lunch solutions.
-
D.
System 4
System 4 is an early version of Apple’s classic Macintosh operating system used on compact Macs like the Macintosh SE.
-
E.
System 3
System 3 is an early version of Apple’s classic Macintosh System Software, used on mid-1980s Macs such as the Macintosh Plus.
- 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: Systembilder Triple: [A. R. Penck, notableWork, Systembilder]
Generated description
Systembilder is a series of abstract, symbol-laden paintings by German artist A. R. Penck that explore systems theory, communication, and social structures through simplified pictographic forms.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Systembilder Target entity description: Systembilder is a series of abstract, symbol-laden paintings by German artist A. R. Penck that explore systems theory, communication, and social structures through simplified pictographic forms.
-
A.
System
System is a core .NET namespace that provides fundamental classes and base types essential for building .NET applications.
-
B.
System1
System1 is a digital marketing and customer acquisition company specializing in data-driven advertising and online performance-based media.
-
C.
Sistema
Sistema is a consumer food storage and kitchenware brand known for its reusable plastic containers and lunch solutions.
-
D.
System 4
System 4 is an early version of Apple’s classic Macintosh operating system used on compact Macs like the Macintosh SE.
-
E.
System 3
System 3 is an early version of Apple’s classic Macintosh System Software, used on mid-1980s Macs such as the Macintosh Plus.
- 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_69bd43eac3c08190af7e4020c6c3704c |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd63e808c88190877e98408498fb62 |
completed | March 20, 2026, 3:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be03d074348190a19092fa02a0bb39 |
completed | March 21, 2026, 2:34 a.m. |
| NEDg | Description generation | batch_69be050e0f488190804c512e7cc17c56 |
completed | March 21, 2026, 2:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be05a6bed081909c8d8830fb103610 |
completed | March 21, 2026, 2:42 a.m. |
Created at: March 20, 2026, 1:17 p.m.