Triple
T22143014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple A12 Bionic |
E547212
|
entity |
| Predicate | performanceCoreCodename |
P32834
|
FINISHED |
| Object | Vortex |
—
|
NE NERFINISHED |
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: Vortex | Statement: [Apple A12 Bionic, performanceCoreCodename, Vortex]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vortex Context triple: [Apple A12 Bionic, performanceCoreCodename, Vortex]
-
A.
Vortex
Vortex is a spinning pendulum thrill ride at Thorpe Park known for its intense swinging and rotating motion.
-
B.
Vortex
Vortex is a 2021 French drama film by Gaspar Noé that portrays an elderly couple’s harrowing descent into dementia and decline through an experimental split-screen narrative.
-
C.
Vortex
chosen
Vortex is the high-performance CPU core microarchitecture used in Apple’s A12X Bionic system-on-chip for iPad Pro devices.
-
D.
Vortex
Vortex is a fictional character from the Transformers franchise, typically depicted as a Decepticon Combaticon who transforms into a military helicopter and specializes in aerial combat and interrogation.
-
E.
Vortex
Vortex is a novel in the Star Wars: Fate of the Jedi series that continues the post–Yuuzhan Vong War storyline in the expanded universe.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e3a95d88190a3bd80d9471976c3 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129bf78108190b50d937917258693 |
completed | April 28, 2026, 9:42 p.m. |
Created at: April 16, 2026, 8:32 p.m.