Triple

T9896872
Position Surface form Disambiguated ID Type / Status
Subject Ziv Aviram E182196 entity
Predicate founded P104 FINISHED
Object OrCam Technologies E678066 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: OrCam Technologies | Statement: [Ziv Aviram, founded, OrCam Technologies]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OrCam Technologies
Context triple: [Ziv Aviram, founded, OrCam Technologies]
  • A. OrCam Technologies chosen
    OrCam Technologies is an Israeli assistive technology company that develops AI-driven wearable devices to help visually impaired and other disabled users perceive and interact with their surroundings.
  • B. Point Grey
    Point Grey is a prominent headland and residential neighborhood on Vancouver’s west side, known for its coastal bluffs, beaches, and views over English Bay and the Strait of Georgia.
  • C. Cinepix
    Cinepix is a Canadian film production and distribution company known for backing genre and independent films, including the cult slasher "My Bloody Valentine."
  • D. InSight
    InSight is a NASA Mars lander mission designed to study the planet’s deep interior and seismic activity to better understand the formation and evolution of rocky planets.
  • E. Lytro
    Lytro was a pioneering technology company known for developing consumer light-field cameras that allowed users to refocus images after they were taken.
  • 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_69ca82876f8081909cf75df0f99bb13f completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb4ab15f881909f75a8e01051dbc4 completed April 2, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1eb1355888190baf9846815801e92 completed April 5, 2026, 4:54 a.m.
Created at: March 30, 2026, 8:40 p.m.