Triple
T15098566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Android reference devices |
E360603
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Pixel 2 |
E76138
|
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: Pixel 2 | Statement: [Android reference devices, hasMember, Pixel 2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pixel 2 Context triple: [Android reference devices, hasMember, Pixel 2]
-
A.
Pixel 2
chosen
Pixel 2 is Google's second-generation flagship Android smartphone line, known for its high-quality camera, clean software experience, and integration with Google services.
-
B.
Google Pixel 3
Google Pixel 3 is a flagship Android smartphone by Google known for its advanced computational photography features and clean software experience.
-
C.
Pixel 3a
The Pixel 3a is a mid-range Android smartphone by Google known for delivering flagship-level camera performance at a lower price point.
-
D.
Pixel 6
The Pixel 6 is a Google-designed Android smartphone known for its custom Tensor chip, advanced computational photography, and clean, AI-focused software experience.
-
E.
Pixel 7
Pixel 7 is a Google-designed Android smartphone known for its clean software experience, advanced AI-powered camera features, and tight integration with Google services.
- 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_69d85a035aa88190b52a139d3a1b7b6d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0054f00388190a5123d9f4a869b96 |
completed | April 15, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fec87ad03c8190b8a77e8eca9caf4d |
completed | May 9, 2026, 5:39 a.m. |
Created at: April 10, 2026, 3:04 a.m.