Triple

T11250344
Position Surface form Disambiguated ID Type / Status
Subject John Carmack E266306 entity
Predicate employer P7 FINISHED
Object Oculus VR E62018 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: Oculus VR | Statement: [John Carmack, employer, Oculus VR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oculus VR
Context triple: [John Carmack, employer, Oculus VR]
  • A. Oculus VR chosen
    Oculus VR is a virtual reality technology company best known for developing the Oculus Rift headset and helping popularize modern consumer VR experiences.
  • B. Oculus
    The Oculus is a striking, winged transportation hub and shopping center in Lower Manhattan designed by architect Santiago Calatrava, serving as the main transit hall for the rebuilt World Trade Center site.
  • C. 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.
  • D. Oculus Rift
    Oculus Rift is a virtual reality headset developed by Oculus VR that enables immersive 3D gaming and interactive experiences on PC.
  • E. HTC Vive
    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.
  • 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_69d6aac7953c8190b82caf9d7640fdf9 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e93212448190b46b3799b0bdfa0f completed April 9, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69e509f7d404819086cf5d062edbaff5 completed April 19, 2026, 4:59 p.m.
Created at: April 8, 2026, 9:31 p.m.