Triple
T10456356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | launchd |
E246561
|
entity |
| Predicate | replaces |
P101
|
FINISHED |
| Object | SystemStarter |
E203895
|
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: SystemStarter | Statement: [launchd, replaces, SystemStarter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SystemStarter Context triple: [launchd, replaces, SystemStarter]
-
A.
System
System is a core .NET namespace that provides fundamental classes and base types essential for building .NET applications.
-
B.
System Agent
System Agent was a background scheduling and automation utility included with Microsoft Plus! for Windows 95 that allowed users to run maintenance tasks and programs at specified times.
-
C.
Upstart
chosen
Upstart is an event-based init daemon developed for Linux systems to manage services and system startup and shutdown.
-
D.
System1
System1 is a digital marketing and customer acquisition company specializing in data-driven advertising and online performance-based media.
-
E.
Sistema
Sistema is a consumer food storage and kitchenware brand known for its reusable plastic containers and lunch solutions.
- 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_69d381c04fe08190957c26c526a3b05a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fe498a808190b88530f0221df4a6 |
completed | April 7, 2026, 12:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87f10b45c81908f1d3128c65750f8 |
completed | April 10, 2026, 4:39 a.m. |
Created at: April 6, 2026, 12:18 p.m.