Triple
T13383430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Night Sight |
E319374
|
entity |
| Predicate | featureOf |
P1094
|
FINISHED |
| Object | Pixel 3 |
E72113
|
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 3 | Statement: [Night Sight, featureOf, Pixel 3]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pixel 3 Context triple: [Night Sight, featureOf, Pixel 3]
-
A.
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.
-
B.
Google Pixel 3
chosen
Google Pixel 3 is a flagship Android smartphone by Google known for its advanced computational photography features and clean software experience.
-
C.
Pixel 2
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.
-
D.
Google Pixel 4
Google Pixel 4 is a flagship Android smartphone by Google known for its advanced computational photography, including powerful low-light camera capabilities, and tight integration with Google’s software and services.
-
E.
Pixel 4a
The Pixel 4a is a mid-range Android smartphone by Google known for its excellent camera, clean software experience, and compact, budget-friendly design.
- 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_69d806b886bc8190b676e7768b8e01c5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dadce80158819082156eaeaeda3bd8 |
completed | April 11, 2026, 11:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d360c60819086a8168bdc092e1c |
completed | May 3, 2026, 7:08 p.m. |
Created at: April 9, 2026, 9:33 p.m.