Triple

T18343475
Position Surface form Disambiguated ID Type / Status
Subject Steve Kirsch E439469 entity
Predicate founded P104 FINISHED
Object Infoseek 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: Infoseek | Statement: [Steve Kirsch, founded, Infoseek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Infoseek
Context triple: [Steve Kirsch, founded, Infoseek]
  • A. Infoseek chosen
    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.
  • B. 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.
  • C. Lycos
    Lycos is an early web search engine and internet portal that was popular in the 1990s alongside rivals like AltaVista and Yahoo.
  • D. Alexa Internet
    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.
  • E. Qwant
    Qwant is a French privacy-focused search engine that emphasizes user anonymity and does not track or profile its users.
  • 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_69d8b9175fec8190af865699b4e64d8c completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e514f188e081909cdbce61a21b9591 completed April 19, 2026, 5:46 p.m.
Created at: April 10, 2026, 10:37 a.m.