Triple
T29986382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unix philosophy |
E761745
|
entity |
| Predicate | emphasizesInterface |
P65476
|
FINISHED |
| Object | standard input |
—
|
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: standard input | Statement: [Unix philosophy, emphasizesInterface, standard input]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: emphasizesInterface Context triple: [Unix philosophy, emphasizesInterface, standard input]
-
A.
designEmphasizes
chosen
Indicates that a design intentionally places special importance or focus on a particular feature, principle, or aspect over others.
-
B.
coversInterface
Indicates that one entity provides or implements the functionality defined by a specified interface.
-
C.
protectsInterface
Indicates that one entity serves to safeguard, defend, or shield another entity’s interface from harm, misuse, or unauthorized access.
-
D.
hasEmphasis
Indicates that one element is given special stress, importance, or prominence relative to others.
-
E.
typicalInterface
Indicates that one entity serves as the standard or commonly used interface through which another entity is accessed or interacted with.
- 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_69f2246851148190b8e76206db94b105 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f67915bf008190b87d771e157bd3c8 |
completed | May 2, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69f66ec9919881908a187bfc7c4df192 |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 29, 2026, 6:36 p.m.