Triple
T16525567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Wanted Man |
E401425
|
entity |
| Predicate | coverArtist |
P184
|
FINISHED |
| Object | Getty Images |
E72304
|
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: Getty Images | Statement: [A Wanted Man, coverArtist, Getty Images]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Getty Images Context triple: [A Wanted Man, coverArtist, Getty Images]
-
A.
Getty Images
chosen
Getty Images is a leading global provider of stock photography, editorial imagery, video, and other visual content for media, advertising, and corporate clients.
-
B.
Getty
Getty is a prominent American surname most famously associated with oil tycoon J. Paul Getty and the wealthy Getty family.
-
C.
iStockphoto
iStockphoto is an online microstock photography marketplace offering royalty-free images, illustrations, video, and audio clips contributed by a global community of creators.
-
D.
Flickr
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.
-
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_69d883838abc8190bc79cb2d41733ce2 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32ed3f0388190a9f03473c37dfc46 |
completed | April 18, 2026, 7:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00608d36dc8190a094fa4513147c85 |
completed | May 10, 2026, 10:40 a.m. |
Created at: April 10, 2026, 5:14 a.m.