Triple
T4051131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TicPods |
E84587
|
entity |
| Predicate | supports |
P516
|
FINISHED |
| Object | Apple Siri |
E41436
|
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: Apple Siri | Statement: [TicPods, supports, Apple Siri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Apple Siri Context triple: [TicPods, supports, Apple Siri]
-
A.
Siri
chosen
Siri is Apple's intelligent voice-controlled virtual assistant that performs tasks, answers questions, and controls devices across the Apple ecosystem.
-
B.
HomePod
HomePod is Apple’s smart speaker that integrates Siri voice control with high-quality audio playback and seamless connectivity to the Apple ecosystem.
-
C.
Apple One
Apple One is Apple’s subscription bundle that combines multiple services like iCloud storage, music, video, fitness, and news into a single monthly plan.
-
D.
Bixby
Bixby is Samsung's proprietary virtual assistant designed to enable voice control, smart device integration, and contextual assistance across the company's ecosystem of products.
-
E.
Alexa
Alexa is a feminine given name commonly used in English-speaking countries, often as a shortened form of Alexandra.
- 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_69aed933bec881909edfa28ebb69c634 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb8539148190990468c1429be9dd |
completed | March 9, 2026, 4:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b55659256081909154569cedd1694a |
completed | March 14, 2026, 12:36 p.m. |
Created at: March 9, 2026, 3:37 p.m.