Triple
T11160927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lenses |
E264031
|
entity |
| Predicate | platform |
P1292
|
FINISHED |
| Object | Snapchat app |
E52237
|
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: Snapchat app | Statement: [Lenses, platform, Snapchat app]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Snapchat app Context triple: [Lenses, platform, Snapchat app]
-
A.
Snapchat
chosen
Snapchat is a multimedia messaging and social media app known for its disappearing photos and videos, creative filters, and Stories feature popular among younger users.
-
B.
Snapchat Camera Kit (for partners)
Snapchat Camera Kit (for partners) is a developer toolkit that lets third-party apps embed Snapchat’s AR camera and Lenses directly into their own experiences.
-
C.
Snapchat Spotlight
Snapchat Spotlight is Snapchat’s short-form video platform that showcases user-generated, vertically oriented clips in a TikTok-style, algorithm-driven feed.
-
D.
Snapchat Lenses
Snapchat Lenses are augmented reality filters that overlay interactive, animated effects onto users’ faces and surroundings in real time within the Snapchat ecosystem.
-
E.
Grab app
Grab app is a Southeast Asian super-app that offers ride-hailing, food delivery, digital payments, and various on-demand services through a single mobile platform.
- 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_69d6aa9ccddc8190868998c8b7beb060 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8817a90819087820d5241c58851 |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f01869e6c8819093f2768b57b183aa |
completed | April 28, 2026, 2:16 a.m. |
Created at: April 8, 2026, 9:29 p.m.