Triple
T10046372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mac OS X 10.4 Tiger |
E207625
|
entity |
| Predicate | includedComponent |
P1393
|
FINISHED |
| Object | Automator |
E620854
|
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: Automator | Statement: [Mac OS X 10.4 Tiger, includedComponent, Automator]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Automator Context triple: [Mac OS X 10.4 Tiger, includedComponent, Automator]
-
A.
Automator
chosen
Automator is a macOS application that lets users create and run automated workflows to simplify repetitive tasks without needing to write code.
-
B.
AppleScript
AppleScript is a scripting language created by Apple for automating tasks and controlling applications on macOS.
-
C.
AppleScript Editor (legacy)
AppleScript Editor (legacy) is an older macOS application used to create, edit, and run AppleScript automation scripts.
-
D.
Script Editor (macOS)
Script Editor (macOS) is Apple’s built-in macOS application for creating, editing, and running AppleScript and JavaScript for Automation scripts to automate tasks on the system.
-
E.
AppleEvents
AppleEvents is a Macintosh interprocess communication system that allows applications and the operating system to send high-level, scriptable commands to each other.
- 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_69ca835ad0608190b7c80b292da004f5 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcf648f548190a7aa3b1594665831 |
completed | April 2, 2026, 2:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d282888bac81909ccb5db5724c416d |
completed | April 5, 2026, 3:40 p.m. |
Created at: March 30, 2026, 8:56 p.m.