Triple
T9279145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deedle-Dee Productions |
E223025
|
entity |
| Predicate | notableProduction |
P4
|
FINISHED |
| Object | Upload |
E788030
|
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: Upload | Statement: [Deedle-Dee Productions, notableProduction, Upload]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Upload Context triple: [Deedle-Dee Productions, notableProduction, Upload]
-
A.
Upload
chosen
Upload is a science fiction comedy television series that satirically explores digital afterlife and virtual reality, created by Greg Daniels for Amazon Prime Video.
-
B.
WeTransfer
WeTransfer is a cloud-based file transfer service that enables users to easily send large files over the internet.
-
C.
Filestore
Filestore is a managed network file storage service on Google Cloud that provides scalable, high-performance file systems for applications running in the cloud.
-
D.
easyStorage
easyStorage is a self-storage and related services brand within the easyGroup family of low-cost consumer businesses.
-
E.
Photobucket
Photobucket is an online image and video hosting and sharing service that was especially popular in the mid-2000s for embedding photos on social media, blogs, and forums.
- 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_69ca842123588190b3f2e1a69037d141 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd07cc79508190954defbef0d82a64 |
completed | April 1, 2026, 11:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0e379a26c8190be2134fcec120f8e |
completed | April 4, 2026, 10:10 a.m. |
Created at: March 30, 2026, 7:34 p.m.