Triple

T2598057
Position Surface form Disambiguated ID Type / Status
Subject Brewster Kahle E58277 entity
Predicate founded P104 FINISHED
Object Alexa Internet E55013 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: Alexa Internet | Statement: [Brewster Kahle, founded, Alexa Internet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alexa Internet
Context triple: [Brewster Kahle, founded, Alexa Internet]
  • A. Alexa Internet chosen
    Alexa Internet was a web traffic analysis and ranking company best known for providing website popularity metrics and analytics services before its shutdown in 2022.
  • B. Lycos
    Lycos is an early web search engine and internet portal that was popular in the 1990s alongside rivals like AltaVista and Yahoo.
  • C. AltaVista
    AltaVista was one of the earliest and most popular web search engines of the 1990s, known for its fast, comprehensive internet search before being eclipsed by later competitors.
  • D. Infoseek
    Infoseek was an early web search engine and internet portal that gained prominence in the mid-1990s before being acquired and integrated into Disney’s online properties.
  • E. DoubleClick Inc.
    DoubleClick Inc. was a pioneering online advertising company best known for its ad-serving technology and data-driven targeting, later acquired by Google to strengthen its digital advertising platform.
  • 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_69ab4ac14040819098b13f4a27d5c8ff completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd4548b1081909d28f88ea5e14202 completed March 7, 2026, 7:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69af83cc45f8819099d581725a53e527 completed March 10, 2026, 2:37 a.m.
Created at: March 6, 2026, 9:49 p.m.