Triple
T9317858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | macOS Big Sur |
E224167
|
entity |
| Predicate | includesApplication |
P14571
|
FINISHED |
| Object | Music |
E786578
|
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: Music | Statement: [macOS Big Sur, includesApplication, Music]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Music Context triple: [macOS Big Sur, includesApplication, Music]
-
A.
Music
chosen
Music is Apple's media player and library application for macOS that organizes, plays, and manages music and other audio content, including access to Apple Music.
-
B.
Music World
Music World is a record label and entertainment company best known for managing and releasing music by prominent R&B and pop artists.
-
C.
Tunes
Tunes is a town in Portugal’s Algarve region known as a key railway junction linking major lines in the south of the country.
-
D.
Music (album)
Music is a 2000 studio album by American singer Madonna that blends dance-pop, electronica, and country influences and features the hit title track "Music."
-
E.
USIC
USIC is the commonly used acronym for the United States Intelligence Community, the federation of U.S. government agencies responsible for intelligence and national security activities.
- 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_69ca8425f4fc81909c1c586e9a5b7530 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd358b66148190a918c107490c8406 |
completed | April 1, 2026, 3:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0c7b73ff881909e936374fd90a822 |
completed | April 4, 2026, 8:11 a.m. |
Created at: March 30, 2026, 7:38 p.m.