Triple

T22128535
Position Surface form Disambiguated ID Type / Status
Subject White & Nerdy E546850 entity
Predicate containsReference P8581 FINISHED
Object Wikipedia 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: Wikipedia | Statement: [White & Nerdy, containsReference, Wikipedia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wikipedia
Context triple: [White & Nerdy, containsReference, 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. britannica.com
    britannica.com is the official website of Encyclopaedia Britannica, offering a comprehensive, curated digital encyclopedia and educational resources.
  • E. Citizendium
    Citizendium is an expert-guided, wiki-based online encyclopedia project founded as an alternative to Wikipedia, emphasizing real-name authorship and expert oversight.
  • 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_69e11e39bf348190b541bfa16a7b71e0 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12983acfc81908013f66acb31f198 completed April 28, 2026, 9:41 p.m.
Created at: April 16, 2026, 8:32 p.m.