Triple
T1773818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | System 1.0 |
E38933
|
entity |
| Predicate | succeededBy |
P78
|
FINISHED |
| Object |
System 2.0
System 2.0 is the next-generation iteration of the System platform, offering updated features and improvements over its predecessor.
|
E200267
|
NE FINISHED |
How this triple was built (4 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 2.0 | Statement: [System 1.0, succeededBy, System 2.0]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: System 2.0 Context triple: [System 1.0, succeededBy, System 2.0]
-
A.
System 3
System 3 is an early version of Apple’s classic Macintosh System Software, used on mid-1980s Macs such as the Macintosh Plus.
-
B.
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.
-
C.
System 4
System 4 is an early version of Apple’s classic Macintosh operating system used on compact Macs like the Macintosh SE.
-
D.
Sistema
Sistema is a consumer food storage and kitchenware brand known for its reusable plastic containers and lunch solutions.
-
E.
System1
System1 is a digital marketing and customer acquisition company specializing in data-driven advertising and online performance-based media.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: System 2.0 Triple: [System 1.0, succeededBy, System 2.0]
Generated description
System 2.0 is the next-generation iteration of the System platform, offering updated features and improvements over its predecessor.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: System 2.0 Target entity description: System 2.0 is the next-generation iteration of the System platform, offering updated features and improvements over its predecessor.
-
A.
System 3
System 3 is an early version of Apple’s classic Macintosh System Software, used on mid-1980s Macs such as the Macintosh Plus.
-
B.
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.
-
C.
System 4
System 4 is an early version of Apple’s classic Macintosh operating system used on compact Macs like the Macintosh SE.
-
D.
Sistema
Sistema is a consumer food storage and kitchenware brand known for its reusable plastic containers and lunch solutions.
-
E.
System1
System1 is a digital marketing and customer acquisition company specializing in data-driven advertising and online performance-based media.
- F. None of above. chosen
Provenance (5 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_69a8862e61708190af97b9838cc3f5de |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa64b59428819082e0d43a61f4f299 |
completed | March 6, 2026, 5:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada995dab48190b7efcf1007fc9d5f |
completed | March 8, 2026, 4:53 p.m. |
| NEDg | Description generation | batch_69adaab3b5008190ba5a07636fe3f2eb |
completed | March 8, 2026, 4:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adaea83bfc8190a526d5f2bd460e4c |
completed | March 8, 2026, 5:15 p.m. |
Created at: March 4, 2026, 7:31 p.m.