Triple
T2016902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garrett Camp |
E44014
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | StumbleUpon discovery platform |
E227393
|
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: StumbleUpon discovery platform | Statement: [Garrett Camp, notableWork, StumbleUpon discovery platform]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: StumbleUpon discovery platform Context triple: [Garrett Camp, notableWork, StumbleUpon discovery platform]
-
A.
StumbleUpon
chosen
StumbleUpon was a popular discovery and recommendation platform that let users "stumble" through personalized web content based on their interests.
-
B.
del.icio.us
del.icio.us was a pioneering social bookmarking web service that allowed users to save, tag, and share links online.
-
C.
iDiscover
iDiscover is the online search and discovery platform used to access Cambridge University’s library collections, including books, journals, and electronic resources.
-
D.
Periscope
Periscope was a live video streaming mobile app that allowed users to broadcast and watch real-time video from around the world.
-
E.
Spotlight search
Spotlight search is macOS’s built-in search and indexing feature that lets users quickly find files, apps, and information across their system and the web.
- 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_69a8891201bc8190aca837be6de41579 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb8ccdb7c81909f6b3c96f79fcdfc |
completed | March 7, 2026, 5:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae1fe5ad548190b4a64c5320b99c6d |
completed | March 9, 2026, 1:18 a.m. |
Created at: March 4, 2026, 7:38 p.m.