Triple
T28968930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benatar |
E734217
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | vehicle in the Marvel Cinematic Universe |
C55463
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: vehicle in the Marvel Cinematic Universe Context triple: [Benatar, instanceOf, vehicle in the Marvel Cinematic Universe]
-
A.
Batman vehicle
A Batman vehicle is a specialized, high-tech mode of transportation designed for Batman, equipped with advanced weaponry, stealth capabilities, and crime-fighting tools to support his vigilantism.
-
B.
location in the Marvel Cinematic Universe
A location in the Marvel Cinematic Universe is any distinct place—real or fictional—where events, characters, or organizations appear or operate within the interconnected MCU narrative.
-
C.
Marvel Cinematic Universe organization
A Marvel Cinematic Universe organization is a structured group or agency within the MCU, composed of characters united by a common purpose, hierarchy, and resources that influence the franchise’s overarching narrative and events.
-
D.
location in the Cars franchise
A "location in the Cars franchise" is any distinct place or setting—such as towns, racetracks, landmarks, or regions—depicted within the Cars universe where characters live, travel, or events occur.
-
E.
Transformers series
The Transformers series is a multimedia franchise centered on sentient robots that can transform into vehicles, weapons, and other objects, exploring their conflicts and alliances across comics, cartoons, films, and toys.
- F. None of above. chosen
Provenance (1 batch)
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_69f05b0d1e7c819092baab93d3fe277e |
completed | April 28, 2026, 7 a.m. |
Created at: April 28, 2026, 9:04 a.m.