Triple
T8415132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple GPU |
E198713
|
entity |
| Predicate | supports |
P516
|
FINISHED |
| Object | Metal 3 |
E519907
|
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 3 | Statement: [Apple GPU, supports, Metal 3]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Metal 3 Context triple: [Apple GPU, supports, Metal 3]
-
A.
Metal 3
chosen
Metal 3 is an updated generation of Apple’s low-level graphics and compute API designed to deliver higher performance and more advanced GPU features on Apple platforms.
-
B.
Metal 2
Metal 2 is Apple’s second-generation low-level graphics and compute API framework designed to deliver improved performance and advanced GPU features on macOS, iOS, and other Apple platforms.
-
C.
The Reach
The Reach is a fertile and populous southern region of Westeros famed for its agriculture, chivalry, and the powerful House Tyrell of Highgarden.
-
D.
Tons of Steel
Tons of Steel is a song featured on the Grateful Dead’s album "In the Dark."
-
E.
Cross of Iron
Cross of Iron is a 1977 war film depicting the brutal experiences of German soldiers on the Eastern Front during World War II.
- 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_69ca831201b481909e137936ef99ff11 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb83e443a08190983d9a0a61e0f781 |
completed | March 31, 2026, 8:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce0333a3488190ba30d03b1d7bacb1 |
completed | April 2, 2026, 5:48 a.m. |
Created at: March 30, 2026, 6:06 p.m.