Triple
T15576057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flickr |
E374371
|
entity |
| Predicate | subjectOf |
P38
|
FINISHED |
| Object | Flickr Pro |
E374371
|
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: Flickr Pro | Statement: [Flickr, subjectOf, Flickr Pro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flickr Pro Context triple: [Flickr, subjectOf, Flickr Pro]
-
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.
Lovelight
"Lovelight" is a lesser-known song by ABBA, originally released as the B-side to their 1979 single "Chiquitita."
-
C.
Amazon Photos
Amazon Photos is a cloud-based photo and video storage service from Amazon that lets users securely back up, organize, and access their media across devices.
-
D.
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.
-
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 (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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e22c89081909b1ec0cd36a1ef45 |
completed | April 16, 2026, 2:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4c4978ec8190a57de5d9a2ec6653 |
completed | May 9, 2026, 3:01 p.m. |
Created at: April 10, 2026, 4:10 a.m.