Triple
T2412965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Evan Spiegel |
E52235
|
entity |
| Predicate | founded |
P104
|
FINISHED |
| Object | Snapchat |
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 | Statement: [Evan Spiegel, founded, Snapchat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Snapchat Context triple: [Evan Spiegel, founded, Snapchat]
-
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 Lens Explorer
Snapchat Lens Explorer is a discovery interface within Snapchat that lets users browse, search, and try a wide variety of user-created augmented reality Lenses.
-
C.
Snap Camera
Snap Camera is a desktop application by Snap Inc. that lets users apply Snapchat-style augmented reality lenses and filters to their webcam video for use in video calls and streaming.
-
D.
Snap
Snap is a technology and social media company best known for creating Snapchat and developing camera-focused hardware and augmented reality products.
-
E.
Periscope
Periscope was a live video streaming mobile app that allowed users to broadcast and watch real-time video from around the world.
- 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_69ab495622948190bc6bc6e4cddaf645 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc92a4e1c8190819fa676295ac145 |
completed | March 7, 2026, 6:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aebf43c1fc8190ae66bd88ad4c7a6b |
completed | March 9, 2026, 12:38 p.m. |
Created at: March 6, 2026, 9:41 p.m.