Triple
T5555696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike Krieger |
E145633
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object |
E5329
|
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: Instagram | Statement: [Mike Krieger, employer, Instagram]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Instagram Context triple: [Mike Krieger, employer, Instagram]
-
A.
Instagram
chosen
Instagram is a popular photo and video sharing social media platform known for its visual content, stories, and influencer culture.
-
B.
Instagram main feed
Instagram main feed is the primary scrolling interface in the Instagram app where users view a curated stream of posts, including photos, videos, and Reels, from accounts they follow and recommended content.
-
C.
Instagram Direct
Instagram Direct is Instagram’s built-in private messaging feature that lets users send direct messages, photos, videos, and other content to individuals or groups.
-
D.
Facebook
Facebook is a major global social networking platform that allows users to connect, share content, and communicate online.
-
E.
Pinterest
Pinterest is a visual discovery and bookmarking platform where users save and organize images and ideas into themed collections called boards.
- 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_69c008fcaf788190bafa02a1917ee73b |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01ffc5e7c81908e1c454d3bfd357b |
completed | March 22, 2026, 4:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d01a9948190a033947c7c031e04 |
completed | March 22, 2026, 8:11 p.m. |
Created at: March 22, 2026, 3:36 p.m.