Triple
T19244306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Photobucket |
E481207
|
entity |
| Predicate | competitor |
P1375
|
FINISHED |
| Object | Flickr |
—
|
NE NERFINISHED |
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: Flickr | Statement: [Photobucket, competitor, Flickr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flickr Context triple: [Photobucket, competitor, Flickr]
-
A.
Flickr
chosen
Flickr is an online photo and video hosting and sharing platform that became one of the earliest popular social media sites for photographers and casual users alike.
-
B.
Flickr API
The Flickr API is a web-based interface that allows developers to programmatically access and interact with Flickr’s photo-sharing services, including searching, uploading, and managing images and related metadata.
-
C.
Flickr for Android
Flickr for Android is the official Android application that lets users browse, upload, organize, and share photos and videos from the Flickr service on their mobile devices.
-
D.
Flickr8k
Flickr8k is a benchmark image-captioning dataset consisting of 8,000 images each paired with multiple human-written descriptions, widely used for training and evaluating vision-language models.
-
E.
Photolibrary
Photolibrary was a stock photography agency and image licensing company later incorporated into Getty Images’ global visual media portfolio.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8cd9d1081908a181d02b88b59b8 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5faf47820819081e8b6af852bb1dd |
completed | April 20, 2026, 10:07 a.m. |
Created at: April 10, 2026, 1:27 p.m.