Triple
T11063266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Future World |
E261559
|
entity |
| Predicate | featuredAttraction |
P5121
|
FINISHED |
| Object | ImageWorks |
E806374
|
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: ImageWorks | Statement: [Future World, featuredAttraction, ImageWorks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ImageWorks Context triple: [Future World, featuredAttraction, ImageWorks]
-
A.
ImageWorks
chosen
ImageWorks is an interactive, hands-on exhibit area at Epcot where guests explore creativity and imagination through playful digital and sensory experiences.
-
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.
Lumify
Lumify is an over-the-counter eye drop brand from Bausch + Lomb known for reducing eye redness and brightening the appearance of the eyes.
-
D.
Silicon Image
Silicon Image was a semiconductor company best known for pioneering digital interface technologies, including key contributions to the development and commercialization of HDMI.
-
E.
WireImage
WireImage is a celebrity and entertainment photography agency known for its extensive coverage of red carpet events, premieres, and industry parties.
- 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_69d6aa98650481908609c7c56bfa7902 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d798ed07f88190bf501d9f63386ada |
completed | April 9, 2026, 12:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3c887d2148190b19c91b6eb548494 |
completed | April 18, 2026, 6:08 p.m. |
Created at: April 8, 2026, 9:26 p.m.