Triple

T7713802
Position Surface form Disambiguated ID Type / Status
Subject Gawker Media E174831 entity
Predicate founder P104 FINISHED
Object Nick Denton E682561 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: Nick Denton | Statement: [Gawker Media, founder, Nick Denton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nick Denton
Context triple: [Gawker Media, founder, Nick Denton]
  • A. Nick Denton chosen
    Nick Denton is a British journalist and internet entrepreneur best known as the founder of the pioneering gossip and news blog network Gawker Media.
  • B. Jonah Peretti
    Jonah Peretti is an American internet entrepreneur best known as the co-founder and longtime CEO of BuzzFeed and a co-founder of The Huffington Post.
  • C. Daniel Domscheit-Berg
    Daniel Domscheit-Berg is a German technology activist and former WikiLeaks spokesperson who became known for his whistleblowing work and later critiques of the organization.
  • D. Brennan Huff
    Brennan Huff is the immature, unemployed man-child portrayed by Will Ferrell in the comedy film "Step Brothers."
  • E. David Pescovitz
    David Pescovitz is a journalist and media innovator known for his work in technology, science, and culture, including his longtime role helping shape the influential online magazine Boing Boing.
  • 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_69c6995c463c8190a14458036249d419 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c702ca8f048190a6ea27b8cee2f93e completed March 27, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8b508fa2081908ed05ca8c4815249 completed March 29, 2026, 5:13 a.m.
Created at: March 27, 2026, 4:04 p.m.