Triple

T8945796
Position Surface form Disambiguated ID Type / Status
Subject Philippe Kahn E213217 entity
Predicate founded P104 FINISHED
Object Fullpower Technologies E768009 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: Fullpower Technologies | Statement: [Philippe Kahn, founded, Fullpower Technologies]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fullpower Technologies
Context triple: [Philippe Kahn, founded, Fullpower Technologies]
  • A. Fullpower Technologies chosen
    Fullpower Technologies is a technology company founded by entrepreneur Philippe Kahn, best known for its work in sensor-based wearable and sleep-tracking platforms.
  • B. Omni-Tech
    Omni-Tech is Columbia Sportswear’s proprietary waterproof-breathable fabric technology designed to keep wearers dry and comfortable in harsh weather conditions.
  • C. Jomax Technologies
    Jomax Technologies was the original company name under which GoDaddy, the major domain registrar and web hosting provider, was founded before rebranding.
  • D. Invetech
    Invetech is a technology and product development company specializing in designing and engineering innovative medical and life science solutions.
  • E. Multitech
    Multitech was the original name of Acer, a Taiwanese multinational technology company known for manufacturing computers, laptops, and related electronics.
  • 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.