Triple
T5922745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ryan Dahl |
E131735
|
entity |
| Predicate | softwareEngineeringFocus |
P37802
|
FINISHED |
| Object | runtime 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: runtime systems | Statement: [Ryan Dahl, softwareEngineeringFocus, runtime systems]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: softwareEngineeringFocus Context triple: [Ryan Dahl, softwareEngineeringFocus, runtime systems]
-
A.
programmingFocus
Indicates a relationship where an entity’s primary attention, effort, or specialization is directed toward a particular area or aspect of programming.
-
B.
formerProgrammingFocus
Indicates that an entity previously concentrated on a particular programming-related area or activity, but no longer does so.
-
C.
softwareDomain
chosen
Indicates that something belongs to, operates within, or is associated with a particular area or field of software.
-
D.
programFocus
Indicates that an educational or training program is primarily oriented around or concentrated on a particular subject, theme, or objective.
-
E.
hasProgrammingFocus
Indicates that something is centered on, specialized in, or primarily concerned with programming.
- 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_69c0085a1ed08190a7e9a8b6323fd680 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03c9239e08190bff7ef2bd6d21ae0 |
completed | March 22, 2026, 7:01 p.m. |
| PD | Predicate disambiguation | batch_69c033541d108190a34d1fde2fe9dacb |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 4 p.m.