Triple
T17233747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Android Open Source Project |
E418308
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | Android SDK |
E165155
|
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: Android SDK | Statement: [Android Open Source Project, relatedTo, Android SDK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Android SDK Context triple: [Android Open Source Project, relatedTo, Android SDK]
-
A.
Android SDK
chosen
Android SDK is a collection of development tools, libraries, and APIs that enables developers to build, test, and debug applications for the Android operating system.
-
B.
Android
"Android" is a 1982 science fiction film starring Don Keith Opper, known for its exploration of artificial intelligence and human identity aboard a remote space station.
-
C.
Android
Android is a mobile operating system developed by Google, widely used on smartphones, tablets, and other smart devices around the world.
-
D.
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.
-
E.
Android Cop
Android Cop is a 2014 science fiction action film featuring Kadeem Hardison in a futuristic story about a high-tech police officer.
- 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_69d886d8e96081909870bff6c3d0bf09 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42dfa0a408190880804d463305867 |
completed | April 19, 2026, 1:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01676382388190ab82bd10bd53f59e |
completed | May 11, 2026, 5:21 a.m. |
Created at: April 10, 2026, 5:39 a.m.