Triple
T9945214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patrick Volkerding |
E195186
|
entity |
| Predicate | softwareEngineeringSpecialization |
P37802
|
FINISHED |
| Object | Unix-like operating systems |
—
|
LITERAL FINISHED |
How this triple was built (2 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: Unix-like operating systems | Statement: [Patrick Volkerding, softwareEngineeringSpecialization, Unix-like operating systems]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: softwareEngineeringSpecialization Context triple: [Patrick Volkerding, softwareEngineeringSpecialization, Unix-like operating systems]
-
A.
engineeringEmphasis
Indicates that something places a primary focus or specialization on engineering principles, methods, or activities.
-
B.
programmingTechnology
Indicates a relationship where an entity is associated with, uses, or is implemented using a particular programming technology (such as a language, framework, or platform).
-
C.
programmingFocus
Indicates a relationship where an entity’s primary attention, effort, or specialization is directed toward a particular area or aspect of programming.
-
D.
softwareDomain
chosen
Indicates that something belongs to, operates within, or is associated with a particular area or field of software.
-
E.
softwareExperience
Indicates the level or extent of a person's prior experience working with or using specific software.
- F. None of above.
Provenance (3 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_69ca82e96a108190932bd1fc4acd73a0 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb61561848190aba7250f3b3c4ed5 |
completed | April 2, 2026, 12:19 a.m. |
| PD | Predicate disambiguation | batch_69cd1d97c44081908730071269f07712 |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:45 p.m.