Triple

T13684881
Position Surface form Disambiguated ID Type / Status
Subject Nate Mitchell E328095 entity
Predicate workedOn P3 FINISHED
Object Oculus Rift E277068 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 Rift | Statement: [Nate Mitchell, workedOn, Oculus Rift]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oculus Rift
Context triple: [Nate Mitchell, workedOn, Oculus Rift]
  • A. Oculus Rift chosen
    Oculus Rift is a virtual reality headset developed by Oculus VR that enables immersive 3D gaming and interactive experiences on PC.
  • B. 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.
  • C. The Oculus
    The Oculus is a World of Warcraft dungeon set in the floating Nexus of Coldarra, featuring extensive dragonriding mechanics and multi-level, open-air encounters.
  • D. 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.
  • E. 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.
  • 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_69d8076f1fa8819094664a59b55010df completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc66f8acc8190b2a82b722930b995 completed April 12, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3239c3bc8190a6838fe8f2f016bf completed May 8, 2026, 12:45 a.m.
Created at: April 9, 2026, 9:53 p.m.