Triple
T1907651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ReiserFS |
E38038
|
entity |
| Predicate | developer |
P73
|
FINISHED |
| Object |
Namesys
Namesys was a software company best known for developing the ReiserFS journaling file system for Linux.
|
E212346
|
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: Namesys | Statement: [ReiserFS, developer, Namesys]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Namesys Context triple: [ReiserFS, developer, Namesys]
-
A.
VeriSign
VeriSign is an American technology company best known for operating key internet infrastructure, including managing the .com and .net top-level domains and providing critical DNS and security services.
-
B.
GoDaddy
GoDaddy is a major American internet domain registrar and web hosting company known for providing online presence and website services to individuals and businesses worldwide.
-
C.
Nom.com
Nom.com was a live video streaming and social platform focused on food and cooking, co-founded by YouTube co-founder Steve Chen.
-
D.
Genesys
Genesys is a global customer experience and contact center technology company known for its cloud-based solutions that help businesses manage and optimize customer interactions.
-
E.
Norid
Norid is the Norwegian registry responsible for administering the country’s .no top-level internet domain.
- 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: Namesys Triple: [ReiserFS, developer, Namesys]
Generated description
Namesys was a software company best known for developing the ReiserFS journaling file system for Linux.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Namesys Target entity description: Namesys was a software company best known for developing the ReiserFS journaling file system for Linux.
-
A.
VeriSign
VeriSign is an American technology company best known for operating key internet infrastructure, including managing the .com and .net top-level domains and providing critical DNS and security services.
-
B.
GoDaddy
GoDaddy is a major American internet domain registrar and web hosting company known for providing online presence and website services to individuals and businesses worldwide.
-
C.
Nom.com
Nom.com was a live video streaming and social platform focused on food and cooking, co-founded by YouTube co-founder Steve Chen.
-
D.
Genesys
Genesys is a global customer experience and contact center technology company known for its cloud-based solutions that help businesses manage and optimize customer interactions.
-
E.
Norid
Norid is the Norwegian registry responsible for administering the country’s .no top-level internet domain.
- 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_69a8862a26088190aae5243695aeefc0 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb1b44174819084fa06faf1930221 |
completed | March 7, 2026, 5:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adeafb063481908a08f5570acc5b57 |
completed | March 8, 2026, 9:32 p.m. |
| NEDg | Description generation | batch_69adec22c5e48190af85fa4a1d4c5d8d |
completed | March 8, 2026, 9:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adec9a840c8190a03f4de0f03a0e10 |
completed | March 8, 2026, 9:39 p.m. |
Created at: March 4, 2026, 7:35 p.m.