Triple

T9550836
Position Surface form Disambiguated ID Type / Status
Subject Lawrence Mark Sanger E230416 entity
Predicate coFounded P104 FINISHED
Object Wikipedia E19879 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: Wikipedia | Statement: [Lawrence Mark Sanger, coFounded, Wikipedia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wikipedia
Context triple: [Lawrence Mark Sanger, coFounded, Wikipedia]
  • A. Wikipedia chosen
    Wikipedia is a free, collaboratively edited online encyclopedia that allows users worldwide to create and modify its articles.
  • B. Abstract Wikipedia
    Abstract Wikipedia is a Wikimedia project aiming to create language-independent, structured representations of encyclopedia articles that can be rendered into many natural languages.
  • C. WikiWikiWeb
    WikiWikiWeb is the first-ever wiki website, launched in 1995 as a collaborative platform for software developers to share ideas and documentation.
  • D. Citizendium
    Citizendium is an expert-guided, wiki-based online encyclopedia project founded as an alternative to Wikipedia, emphasizing real-name authorship and expert oversight.
  • E. Wikia
    Wikia is a for-profit, community-driven wiki hosting platform (now known as Fandom) that provides free tools for fans to create and manage collaborative encyclopedias on their favorite topics.
  • 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_69ca847d3be8819099c9dad2a7e786f1 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd991df7308190a56d95f195627513 completed April 1, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1528068a481908d5c8037b4591db5 completed April 4, 2026, 6:03 p.m.
Created at: March 30, 2026, 8:02 p.m.