Triple
T35833351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steve Jobs' return to Apple |
E1035859
|
entity |
| Predicate | hasTechnologyAspect |
P191803
|
FINISHED |
| Object | adoption of NeXTSTEP as basis for Mac OS X |
—
|
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: adoption of NeXTSTEP as basis for Mac OS X | Statement: [Steve Jobs' return to Apple, hasTechnologyAspect, adoption of NeXTSTEP as basis for Mac OS X]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTechnologyAspect Context triple: [Steve Jobs' return to Apple, hasTechnologyAspect, adoption of NeXTSTEP as basis for Mac OS X]
-
A.
hasTechnologyTheme
Indicates that something is associated with, centers on, or prominently features technology as a primary theme or subject.
-
B.
hasTechnologyBasis
chosen
Indicates that something is founded upon, derived from, or fundamentally enabled by a particular technology.
-
C.
hasTechnologySystem
Indicates that one entity possesses, utilizes, or is supported by a particular technology system.
-
D.
hasTechnologyDomain
Indicates that an entity is associated with, operates within, or is relevant to a particular field or domain of technology.
-
E.
hasDistinctiveTechnology
Indicates that an entity possesses a unique or distinguishing technology that sets it apart from others.
- 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_69f76e192a94819082db360cb91e6a8d |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fe779248c081909f0ed1a2a0df23db |
completed | May 8, 2026, 11:53 p.m. |
| PD | Predicate disambiguation | batch_69fe76eaf6d48190998bc7168749cc42 |
completed | May 8, 2026, 11:51 p.m. |
Created at: May 3, 2026, 4:06 p.m.