Triple
T11593860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wolfenstein: Cyberpilot |
E274950
|
entity |
| Predicate | platform |
P1292
|
FINISHED |
| Object | HTC Vive |
E280469
|
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: HTC Vive | Statement: [Wolfenstein: Cyberpilot, platform, HTC Vive]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HTC Vive Context triple: [Wolfenstein: Cyberpilot, platform, HTC Vive]
-
A.
HTC Vive
chosen
The HTC Vive is a high-end virtual reality headset system developed by HTC and Valve, known for its room-scale tracking and immersive VR gaming experiences.
-
B.
Oculus Rift
Oculus Rift is a virtual reality headset developed by Oculus VR that enables immersive 3D gaming and interactive experiences on PC.
-
C.
Oculus VR
Oculus VR is a virtual reality technology company best known for developing the Oculus Rift headset and helping popularize modern consumer VR experiences.
-
D.
Oculus Quest
Oculus Quest is a standalone virtual reality headset known for its inside-out tracking, wireless operation, and consumer-friendly VR gaming experience.
-
E.
Oculus
Oculus is a 2013 psychological horror film written and directed by Mike Flanagan that centers on a haunted mirror and the traumatic effects it has on a family.
- 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_69d6aae6b14c81908dc5a74bad7591f9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8946594348190935106132fd18028 |
completed | April 10, 2026, 6:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e7146fdd8c8190a54f3290e155e900 |
completed | April 21, 2026, 6:08 a.m. |
Created at: April 8, 2026, 9:38 p.m.