Triple
T562896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Macintosh 128K |
E13491
|
entity |
| Predicate | operatingSystem |
P1593
|
FINISHED |
| Object | System 1 |
E38938
|
NE 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: System 1 | Statement: [Macintosh 128K, operatingSystem, System 1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: System 1 Context triple: [Macintosh 128K, operatingSystem, System 1]
-
A.
System 1
chosen
System 1 is the first version of Apple's classic Macintosh operating system, introducing the original graphical user interface and desktop metaphor for the Mac.
-
B.
System1
System1 is a digital marketing and customer acquisition company specializing in data-driven advertising and online performance-based media.
-
C.
System 1.0
System 1.0 is the first version of Apple's original Macintosh operating system, introducing the early graphical user interface that defined the Classic Mac OS.
-
D.
Mind
Mind is a leading peer-reviewed philosophy journal, especially known for influential work in analytic philosophy and the philosophy of language.
-
E.
Autopilot
Autopilot is Tesla’s advanced driver-assistance system designed to automate steering, acceleration, and braking under driver supervision.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a4933edcf08190b35ecfd6014caee6 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49a712bc48190ba298b3c76ab11cc |
completed | March 1, 2026, 7:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4ed37a98081909afbc0de4079dda8 |
completed | March 2, 2026, 1:51 a.m. |
Created at: March 1, 2026, 7:32 p.m.