Triple
T4679819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dan Bornstein |
E103771
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Dalvik virtual machine |
E14240
|
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: Dalvik virtual machine | Statement: [Dan Bornstein, notableWork, Dalvik virtual machine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dalvik virtual machine Context triple: [Dan Bornstein, notableWork, Dalvik virtual machine]
-
A.
Android Dalvik VM
chosen
Android Dalvik VM is the original process-virtual-machine-based runtime used by early versions of the Android operating system to execute applications compiled to Dalvik bytecode.
-
B.
Dalvik Executable format
The Dalvik Executable format is a compact bytecode format used by Android to package and run compiled application code in its runtime environment.
-
C.
Android Runtime (ART)
Android Runtime (ART) is the managed runtime environment for Android that executes apps’ bytecode, replacing the older Dalvik VM to improve performance and efficiency.
-
D.
NDK
NDK is the IATA airport code for the airstrip serving Namdrik Atoll in the Marshall Islands.
-
E.
Android NDK
Android NDK is a toolset that enables Android app developers to implement parts of their apps in native C and C++ for improved performance and access to low-level system features.
- 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_69bd43dda32c8190938b37744ca270fc |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd636c105081908655ab384f539f38 |
completed | March 20, 2026, 3:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be03a8b7a88190bfc4f68438694995 |
completed | March 21, 2026, 2:34 a.m. |
Created at: March 20, 2026, 1:16 p.m.