Triple
T17967269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joseph Weisbecker |
E449244
|
entity |
| Predicate | usedProgrammingParadigm |
P85672
|
FINISHED |
| Object | machine language programming on simple microcomputers |
—
|
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: machine language programming on simple microcomputers | Statement: [Joseph Weisbecker, usedProgrammingParadigm, machine language programming on simple microcomputers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedProgrammingParadigm Context triple: [Joseph Weisbecker, usedProgrammingParadigm, machine language programming on simple microcomputers]
-
A.
programmingParadigmWorkedOn
chosen
Indicates that an entity has worked on or been involved with a particular programming paradigm.
-
B.
languageParadigm
Indicates a relationship where a programming language follows, supports, or is categorized under a particular programming paradigm.
-
C.
programmingLanguage
Indicates that one entity is a programming language used to create, control, or interact with the other entity.
-
D.
formerProgrammingFocus
Indicates that an entity previously concentrated on a particular programming-related area or activity, but no longer does so.
-
E.
commonProgramming
Indicates that two or more entities share knowledge of, use, or are associated with the same programming language(s) or programming-related practices.
- 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_69d8b9f9927c8190a006110c8b996e61 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4b13935908190b5269a84a3df2460 |
completed | April 19, 2026, 10:40 a.m. |
| PD | Predicate disambiguation | batch_69e3f8fa62688190a5d5c361ab896256 |
completed | April 18, 2026, 9:34 p.m. |
Created at: April 10, 2026, 10:22 a.m.