Triple

T23112918
Position Surface form Disambiguated ID Type / Status
Subject Austin Russell E576369 entity
Predicate founded P104 FINISHED
Object Luminar Technologies NE NERFINISHED

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: Luminar Technologies | Statement: [Austin Russell, founded, Luminar Technologies]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luminar Technologies
Context triple: [Austin Russell, founded, Luminar Technologies]
  • A. Luminar Technologies chosen
    Luminar Technologies is an American technology company that develops advanced lidar sensors and software for autonomous vehicles and automotive safety systems.
  • B. Horizon Labs
    Horizon Labs is a cutting-edge scientific research company in Marvel Comics, known for employing brilliant inventors like Peter Parker and serving as a hub for advanced technological innovation.
  • C. Lucid Group
    Lucid Group is an American electric vehicle manufacturer best known for its luxury, high-performance EVs that compete with brands like Tesla and Mercedes-Benz.
  • D. Lucid Inc.
    Lucid Inc. was a software company best known for developing and commercializing Common Lisp environments and tools during the 1980s and early 1990s.
  • E. Radiance Technologies
    Radiance Technologies is a U.S.-based defense and intelligence contractor specializing in advanced engineering, cybersecurity, and sensor solutions for government and military customers.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245f4af548190898d434a64a1e774 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e100d408190a7349563235640d5 completed April 29, 2026, 4:50 a.m.
Created at: April 17, 2026, 3:58 p.m.