Triple

T422140
Position Surface form Disambiguated ID Type / Status
Subject Bill Nye E8126 entity
Predicate nickname P55 FINISHED
Object Bill Nye the Science Guy E8126 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: Bill Nye the Science Guy | Statement: [Bill Nye, nickname, Bill Nye the Science Guy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bill Nye the Science Guy
Context triple: [Bill Nye, nickname, Bill Nye the Science Guy]
  • A. Bill Nye chosen
    Bill Nye is an American mechanical engineer, science educator, and television presenter best known for hosting the educational show "Bill Nye the Science Guy" and popularizing science for children and the general public.
  • B. Neil deGrasse Tyson
    Neil deGrasse Tyson is an American astrophysicist, author, and science communicator known for popularizing astronomy and hosting shows like "Cosmos: A Spacetime Odyssey."
  • C. Michael Hart
    Michael Hart was the founder of Project Gutenberg and a pioneer of digital libraries and e-books.
  • D. Randi
    Randi is a feminine given name most notably borne by Randi Zuckerberg, an American businesswoman and former Facebook executive.
  • E. James Randi
    James Randi was a Canadian-American stage magician and prominent skeptic best known for debunking paranormal and pseudoscientific claims through rigorous scientific investigation and public challenges.
  • 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_69a2e7f1d1bc81909cf2dc9754a3c334 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2eec0e9dc81908c08b209ce5278ef completed Feb. 28, 2026, 1:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4254646bc8190bfa77dbdfdb939b8 completed March 1, 2026, 11:38 a.m.
Created at: Feb. 28, 2026, 1:11 p.m.