Triple
T3905017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chris Milk |
E90584
|
entity |
| Predicate | founded |
P104
|
FINISHED |
| Object |
Milk VR
Milk VR is a virtual reality content platform and studio known for producing immersive cinematic VR experiences.
|
E397208
|
NE FINISHED |
How this triple was built (4 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: Milk VR | Statement: [Chris Milk, founded, Milk VR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Milk VR Context triple: [Chris Milk, founded, Milk VR]
-
A.
Daydream VR platform
Daydream VR platform was Google’s mobile virtual reality ecosystem built into Android, offering a standardized hardware and software platform for immersive VR experiences on compatible smartphones and headsets.
-
B.
Anteverse
The Anteverse is a mysterious alternate dimension or universe that serves as a key otherworldly setting in speculative fiction narratives.
-
C.
Farsickness
Farsickness is a song by the band Mutable Set.
-
D.
Venice Immersive
Venice Immersive is the Venice Film Festival’s dedicated program for virtual reality and immersive media works, showcasing innovative storytelling through cutting-edge technologies.
-
E.
Gear VR
Gear VR is a mobile virtual reality headset developed by Samsung in collaboration with Oculus, designed to work with select Samsung smartphones.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Milk VR Triple: [Chris Milk, founded, Milk VR]
Generated description
Milk VR is a virtual reality content platform and studio known for producing immersive cinematic VR experiences.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Milk VR Target entity description: Milk VR is a virtual reality content platform and studio known for producing immersive cinematic VR experiences.
-
A.
Daydream VR platform
Daydream VR platform was Google’s mobile virtual reality ecosystem built into Android, offering a standardized hardware and software platform for immersive VR experiences on compatible smartphones and headsets.
-
B.
Anteverse
The Anteverse is a mysterious alternate dimension or universe that serves as a key otherworldly setting in speculative fiction narratives.
-
C.
Farsickness
Farsickness is a song by the band Mutable Set.
-
D.
Venice Immersive
Venice Immersive is the Venice Film Festival’s dedicated program for virtual reality and immersive media works, showcasing innovative storytelling through cutting-edge technologies.
-
E.
Gear VR
Gear VR is a mobile virtual reality headset developed by Samsung in collaboration with Oculus, designed to work with select Samsung smartphones.
- F. None of above. chosen
Provenance (5 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_69aed95d315881908cbf1bf4a7215fbf |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeed0fb9888190add847806555a14a |
completed | March 9, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b51ca9d32881908538065ee71b31c2 |
completed | March 14, 2026, 8:30 a.m. |
| NEDg | Description generation | batch_69b51d8510c08190a88a1a8f044b3c59 |
completed | March 14, 2026, 8:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b51e08c7ac8190aab4b270258cdb69 |
completed | March 14, 2026, 8:36 a.m. |
Created at: March 9, 2026, 3:22 p.m.