Triple
T14375030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MediaVast |
E356451
|
entity |
| Predicate | owns |
P347
|
FINISHED |
| Object | WireImage |
E356450
|
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: WireImage | Statement: [MediaVast, owns, WireImage]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WireImage Context triple: [MediaVast, owns, WireImage]
-
A.
WireImage
chosen
WireImage is a celebrity and entertainment photography agency known for its extensive coverage of red carpet events, premieres, and industry parties.
-
B.
Nu Image
Nu Image is a film production company known for producing a wide range of genre movies, including action, thriller, and crime dramas.
-
C.
Blitmap
Blitmap is a community-driven, on-chain generative pixel art NFT project co-created by Dom Hofmann that helped pioneer collaborative world-building in crypto art.
-
D.
IMG
IMG is a global sports, events, and talent management company known for representing athletes and models and producing major sporting and fashion events.
-
E.
Images à la sauvette
Images à la sauvette is a seminal 1952 photography book by Henri Cartier-Bresson that helped define the concept of the “decisive moment” in street and documentary photography.
- 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de9007184c8190aebb003cb6548cc8 |
completed | April 14, 2026, 7:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c5514688190be90776c8764d4f3 |
completed | May 8, 2026, 2:37 a.m. |
Created at: April 10, 2026, 1:16 a.m.