Triple

T9787589
Position Surface form Disambiguated ID Type / Status
Subject Computer Graphics Achievement Award from ACM SIGGRAPH E237523 entity
Predicate notableRecipient P108 FINISHED
Object Tom Duff E260386 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: Tom Duff | Statement: [Computer Graphics Achievement Award from ACM SIGGRAPH, notableRecipient, Tom Duff]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom Duff
Context triple: [Computer Graphics Achievement Award from ACM SIGGRAPH, notableRecipient, Tom Duff]
  • A. Tom Duff chosen
    Tom Duff is a computer scientist and programmer best known for his work in computer graphics and for creating the data-copying technique known as Duff's device.
  • B. Cliff Martinez
    Cliff Martinez is an American film composer and former drummer known for his atmospheric, minimalist scores for directors like Steven Soderbergh and Nicolas Winding Refn.
  • C. Dan Wyllie
    Dan Wyllie is an Australian actor known for his work in film, television, and theatre, including prominent roles in acclaimed Australian dramas.
  • D. Martin Newell
    Martin Newell is a pioneering computer graphics researcher best known for creating the iconic "Utah teapot" 3D model and contributing foundational work in rendering and geometric modeling.
  • E. L. Peter Deutsch
    L. Peter Deutsch is a computer scientist and software developer best known for creating the Ghostscript interpreter for the PostScript language and PDF files.
  • 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_69ca84da927881909bda80caecad6010 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda211b0608190bc8ceb905d02db83 completed April 1, 2026, 10:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c427cb2c81909fce8e1958ab3282 completed April 5, 2026, 2:08 a.m.
Created at: March 30, 2026, 8:27 p.m.