Triple
T7937613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | systemd |
E184322
|
entity |
| Predicate | developer |
P73
|
FINISHED |
| Object |
Lennart Poettering
Lennart Poettering is a German software engineer best known for creating the systemd init system and contributing extensively to Linux userspace infrastructure.
|
E699701
|
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: Lennart Poettering | Statement: [systemd, developer, Lennart Poettering]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lennart Poettering Context triple: [systemd, developer, Lennart Poettering]
-
A.
Christian Scholz
Christian Scholz is a German computer scientist and open-source developer known for his contributions to web technologies and social software.
-
B.
Florian Haertel
Florian Haertel is a German journalist and photographer best known as the former husband of British actress Alex Kingston.
-
C.
Martin Schröder
Martin Schröder is a Dutch aviation entrepreneur best known as the founder of the charter airline Martinair.
-
D.
Florian Ballhaus
Florian Ballhaus is a German cinematographer known for his work on major Hollywood films and television series.
-
E.
Werner Maas
Werner Maas was a microbiologist associated with the influential mid-20th-century Phage Group that helped establish modern molecular genetics.
- 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: Lennart Poettering Triple: [systemd, developer, Lennart Poettering]
Generated description
Lennart Poettering is a German software engineer best known for creating the systemd init system and contributing extensively to Linux userspace infrastructure.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lennart Poettering Target entity description: Lennart Poettering is a German software engineer best known for creating the systemd init system and contributing extensively to Linux userspace infrastructure.
-
A.
Christian Scholz
Christian Scholz is a German computer scientist and open-source developer known for his contributions to web technologies and social software.
-
B.
Florian Haertel
Florian Haertel is a German journalist and photographer best known as the former husband of British actress Alex Kingston.
-
C.
Martin Schröder
Martin Schröder is a Dutch aviation entrepreneur best known as the founder of the charter airline Martinair.
-
D.
Florian Ballhaus
Florian Ballhaus is a German cinematographer known for his work on major Hollywood films and television series.
-
E.
Werner Maas
Werner Maas was a microbiologist associated with the influential mid-20th-century Phage Group that helped establish modern molecular genetics.
- 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_69ca8290c21c8190906a5ca6fe2b03c4 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3aef2394819086eea1f6ab117aed |
completed | March 31, 2026, 3:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5c0a96ac819099ad30fb925eb329 |
completed | March 31, 2026, 5:30 a.m. |
| NEDg | Description generation | batch_69cb7634f4dc8190b5e537f24bccd651 |
completed | March 31, 2026, 7:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cbb67e77a48190b93c6ba61becfac4 |
completed | March 31, 2026, 11:56 a.m. |
Created at: March 30, 2026, 5:08 p.m.