Triple
T14411828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Blind Sunflowers |
E357347
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | UGC 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: UGC Images | Statement: [The Blind Sunflowers, productionCompany, UGC Images]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UGC Images Context triple: [The Blind Sunflowers, productionCompany, UGC Images]
-
A.
Britannica ImageQuest
Britannica ImageQuest is a curated educational image database offering millions of rights-cleared photos and illustrations for teaching and learning.
-
B.
Images
Images is a set of impressionistic piano pieces by Claude Debussy that evoke vivid, atmospheric soundscapes through innovative harmony and tone color.
-
C.
IMG
IMG is a global sports, events, and talent management company known for representing athletes and models and producing major sporting and fashion events.
-
D.
ImageService API
ImageService API is a component of the Container Runtime Interface responsible for managing container images, including operations like pulling, listing, and removing images.
-
E.
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.
- 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_69d82793421c8190861eb0e673b085de |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90cb3c708190822f5506ebf7ee9d |
completed | April 14, 2026, 7:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd55269d8c81909592277741a93db6 |
completed | May 8, 2026, 3:14 a.m. |
Created at: April 10, 2026, 1:17 a.m.