Triple

T18724123
Position Surface form Disambiguated ID Type / Status
Subject Noam Shazeer E457852 entity
Predicate coAuthorWith P398 FINISHED
Object Aidan N. Gomez 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: Aidan N. Gomez | Statement: [Noam Shazeer, coAuthorWith, Aidan N. Gomez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aidan N. Gomez
Context triple: [Noam Shazeer, coAuthorWith, Aidan N. Gomez]
  • A. Aidan N. Gomez chosen
    Aidan N. Gomez is a computer scientist and co-author of the seminal "Attention Is All You Need" paper that introduced the Transformer architecture in deep learning.
  • B. Edward Gomez
    Edward Gomez is a Gambian lawyer and politician who has served as the country's Attorney General.
  • C. Christopher J. Garcia
    Christopher J. Garcia is an American science fiction fan, writer, and fanzine editor known for his Hugo Award–winning work and co-editing the fanzine Journey Planet.
  • D. Timothy P. Villagomez
    Timothy P. Villagomez is a Northern Mariana Islands politician who served as lieutenant governor and was later convicted in a major public corruption case involving government contracts.
  • E. Brian Pimental
    Brian Pimental is an American animator, storyboard artist, and director known for his work on several major Disney animated films, including contributing to the story of Beauty and the Beast.
  • 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_69d8d393ba9c8190a8b03b04ddbb0a09 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e56abcfc048190a01dee959e768768 completed April 19, 2026, 11:52 p.m.
Created at: April 10, 2026, 11:50 a.m.