Triple

T8945795
Position Surface form Disambiguated ID Type / Status
Subject Philippe Kahn E213217 entity
Predicate founded P104 FINISHED
Object LightSurf Technologies E768008 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: LightSurf Technologies | Statement: [Philippe Kahn, founded, LightSurf Technologies]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LightSurf Technologies
Context triple: [Philippe Kahn, founded, LightSurf Technologies]
  • A. LightSurf Technologies chosen
    LightSurf Technologies was a pioneering mobile imaging and multimedia messaging company best known for helping to create and commercialize the first camera phone picture-sharing services.
  • B. Outasight
    Outasight is an American singer, rapper, and songwriter known for blending hip hop, pop, and soul, best recognized for his hit single "Tonight Is the Night."
  • C. 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.
  • D. Looker
    Looker is a modern business intelligence and data analytics platform that enables organizations to explore, visualize, and share insights from their data.
  • E. SIGA Technologies
    SIGA Technologies is a pharmaceutical company specializing in the development of antiviral treatments, particularly for smallpox and other orthopoxvirus infections.
  • 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_69ca839843408190a39069a029a89f15 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc66dd00c481908ff20fd66c1954cc completed April 1, 2026, 12:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc93a1e4c8190b33478783dcd09d7 completed April 3, 2026, 2:05 p.m.
Created at: March 30, 2026, 6:59 p.m.