Triple
T3843822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | System 5 |
E93518
|
entity |
| Predicate | predecessor |
P97
|
FINISHED |
| Object | System 4 |
E82498
|
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 4 | Statement: [System 5, predecessor, System 4]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: System 4 Context triple: [System 5, predecessor, System 4]
-
A.
System 4
chosen
System 4 is an early version of Apple’s classic Macintosh operating system used on compact Macs like the Macintosh SE.
-
B.
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.
-
C.
Sistema
Sistema is a consumer food storage and kitchenware brand known for its reusable plastic containers and lunch solutions.
-
D.
System 5
System 5 is an early version of Apple’s classic Macintosh operating system used on machines like the Macintosh Plus in the late 1980s.
-
E.
System M
System M is the analog television broadcasting system used in NTSC countries, characterized by 525 lines per frame and a 60 Hz field rate.
- 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_69aed96ce578819084ab16e3439976c9 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeebb4fd308190a636ba9dbbe57ed6 |
completed | March 9, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5040f93948190b104cf1b7db671b7 |
completed | March 14, 2026, 6:45 a.m. |
Created at: March 9, 2026, 3:18 p.m.