Triple
T29444491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bernard Bernoulli |
E746810
|
entity |
| Predicate | platformsOfNotableWork |
P39167
|
FINISHED |
| Object | MS-DOS |
—
|
NE NERFINISHED |
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: MS-DOS | Statement: [Bernard Bernoulli, platformsOfNotableWork, MS-DOS]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: platformsOfNotableWork Context triple: [Bernard Bernoulli, platformsOfNotableWork, MS-DOS]
-
A.
platformsDevelopedFor
chosen
Indicates the platforms (e.g., operating systems, devices, or environments) for which something has been specifically created or adapted.
-
B.
platformsOfWork
Indicates the work-related platforms or environments through which an entity performs, offers, or organizes work.
-
C.
notableModelOnPlatform
Indicates that a particular model is recognized as notable or prominent on a given platform.
-
D.
platformTypeWorkedOn
Indicates the type of platform on which an entity (typically a person or system) has performed work or carried out activities.
-
E.
platforms
Indicates that one entity provides or serves as a base, medium, or environment that supports the operation, distribution, or presentation of another entity.
- 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_69f0a7a230488190b44a97fe3d16f731 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f6a8df16a88190a23820e64a3b1f92 |
completed | May 3, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69f6a751d5e48190a77dcecbe7ef9f0b |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 28, 2026, 3:26 p.m.