Triple
T1892404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | visionOS |
E41899
|
entity |
| Predicate | includesFramework |
P1393
|
FINISHED |
| Object | Metal |
E121537
|
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: Metal | Statement: [visionOS, includesFramework, Metal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Metal Context triple: [visionOS, includesFramework, Metal]
-
A.
Metal
chosen
Metal is Apple’s low-level, high-performance graphics and compute API used for rendering and GPU-accelerated processing across its platforms.
-
B.
Thrash
Thrash is the bird-themed mascot of the former NHL team the Atlanta Thrashers, known for his energetic and entertaining presence at games.
-
C.
Metallica
Metallica is a pioneering American heavy metal band, widely regarded as one of the most influential and commercially successful acts in the history of the genre.
-
D.
Punk
Punk is a ring name used in professional wrestling, notably associated with performers in major promotions like WWE.
-
E.
Best Metal Performance
Best Metal Performance is a Grammy Award category that honors outstanding recordings in the heavy metal genre, typically recognizing both artistic and technical excellence.
- 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_69a8864b6de0819098d089f6a1b910a7 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb1480a6c81909fcf5cce4c42fed4 |
completed | March 7, 2026, 5:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69addf6aba788190bb30420375b5db7f |
completed | March 8, 2026, 8:43 p.m. |
Created at: March 4, 2026, 7:34 p.m.