Triple

T8415734
Position Surface form Disambiguated ID Type / Status
Subject Apple "1984" commercial E198725 entity
Predicate awardReceived P11 FINISHED
Object Clio Award E38970 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: Clio Award | Statement: [Apple "1984" commercial, awardReceived, Clio Award]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clio Award
Context triple: [Apple "1984" commercial, awardReceived, Clio Award]
  • A. Clio Award chosen
    The Clio Award is a prestigious international honor recognizing excellence and innovation in advertising and design across various media.
  • B. Ellie Awards
    The Ellie Awards are prestigious annual honors recognizing excellence in American magazine journalism and publishing.
  • C. MacRobert Award
    The MacRobert Award is a prestigious UK engineering prize recognizing outstanding innovation and commercial success in engineering.
  • D. Test of Time Award
    The Test of Time Award is a prestigious recognition in the SIGCOMM community honoring research papers whose ideas and impact have remained influential and relevant many years after their publication.
  • E. John Scott Award
    The John Scott Award is a prestigious scientific honor recognizing individuals whose inventions or discoveries have contributed significantly to the "comfort, welfare, and happiness" of humankind.
  • 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_69ca831201b481909e137936ef99ff11 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb83e443a08190983d9a0a61e0f781 completed March 31, 2026, 8:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce0333a3488190ba30d03b1d7bacb1 completed April 2, 2026, 5:48 a.m.
Created at: March 30, 2026, 6:06 p.m.