Triple
T12526292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flex Time |
E299448
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Logic Pro |
E53047
|
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: Logic Pro | Statement: [Flex Time, partOf, Logic Pro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Logic Pro Context triple: [Flex Time, partOf, Logic Pro]
-
A.
Logic Pro
chosen
Logic Pro is a professional digital audio workstation (DAW) developed by Apple for macOS, widely used for music production, recording, and audio editing.
-
B.
GarageBand
GarageBand is a user-friendly digital audio workstation and music creation software developed by Apple for macOS and iOS devices.
-
C.
Pro Tools
Pro Tools is the 2008 studio album by Wu-Tang Clan member GZA, known for its dense lyricism and intricate wordplay.
-
D.
Final Cut Pro
Final Cut Pro is Apple's professional non-linear video editing software widely used for film, television, and content creation on macOS.
-
E.
Ableton Live
Ableton Live is a popular digital audio workstation known for its session-based workflow and powerful tools for music production and live performance.
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9545d7e6c819080c3a85c18caa1ae |
completed | April 10, 2026, 7:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6685d8c64819088db715d7552d18d |
completed | May 2, 2026, 9:10 p.m. |
Created at: April 8, 2026, 9:57 p.m.