Triple
T8470464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | System 2.0 |
E200267
|
entity |
| Predicate | follows |
P134
|
FINISHED |
| Object | System 1.0 |
E38933
|
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 1.0 | Statement: [System 2.0, follows, System 1.0]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: System 1.0 Context triple: [System 2.0, follows, System 1.0]
-
A.
System 1.0
chosen
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.
-
B.
System1
System1 is a digital marketing and customer acquisition company specializing in data-driven advertising and online performance-based media.
-
C.
System 2.0
System 2.0 is the next-generation iteration of the System platform, offering updated features and improvements over its predecessor.
-
D.
Sistema
Sistema is a consumer food storage and kitchenware brand known for its reusable plastic containers and lunch solutions.
-
E.
Upstart
Upstart is an event-based init daemon developed for Linux systems to manage services and system startup and shutdown.
- 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_69ca831a4f348190bfdd09250e86ae35 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe4f234c481909534de6fd702f4cf |
completed | March 31, 2026, 3:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce39f45c3081908ea50810f0a386d6 |
completed | April 2, 2026, 9:42 a.m. |
Created at: March 30, 2026, 6:11 p.m.