Triple
T2152535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Face ID |
E47811
|
entity |
| Predicate | introducedBy |
P513
|
FINISHED |
| Object | iPhone X |
E10318
|
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: iPhone X | Statement: [Face ID, introducedBy, iPhone X]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: iPhone X Context triple: [Face ID, introducedBy, iPhone X]
-
A.
iPhone
chosen
The iPhone is Apple's flagship smartphone line that revolutionized mobile technology by combining a touchscreen interface, internet connectivity, and a robust app ecosystem into a single device.
-
B.
Pixel XL
Pixel XL is a larger, high-end Android smartphone in Google's original Pixel lineup, known for its clean software experience and strong camera performance.
-
C.
Apple Watch
The Apple Watch is a smartwatch line that integrates closely with the iPhone to provide fitness tracking, health monitoring, notifications, and app functionality on the wrist.
-
D.
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.
-
E.
Liquid Retina XDR
Liquid Retina XDR is Apple’s high‑end mini‑LED display technology that delivers very high brightness, contrast, and color accuracy for professional-grade visual work.
- 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_69a88a1d1fd8819088b34990d69a712f |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abbe48ad148190a7d6cc88fd38a660 |
completed | March 7, 2026, 5:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae58e0e1b481909545e8e6d861adfd |
completed | March 9, 2026, 5:21 a.m. |
Created at: March 4, 2026, 7:44 p.m.