Triple

T10130274
Position Surface form Disambiguated ID Type / Status
Subject Jeff MacNelly E226319 entity
Predicate awardReceived P11 FINISHED
Object Reuben Award E563150 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: Reuben Award | Statement: [Jeff MacNelly, awardReceived, Reuben Award]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reuben Award
Context triple: [Jeff MacNelly, awardReceived, Reuben Award]
  • A. Reuben Award chosen
    The Reuben Award is a prestigious annual honor presented by the National Cartoonists Society to recognize outstanding achievement in the field of cartooning.
  • B. Jacob's Award
    Jacob's Award was a prestigious Irish television and radio broadcasting accolade recognizing excellence in programming and performance.
  • C. Leventritt Award
    The Leventritt Award is a prestigious international music competition prize historically given to outstanding young classical pianists and violinists.
  • D. Les Cunningham Award
    The Les Cunningham Award is the American Hockey League’s annual honor given to its most valuable player during the regular season.
  • E. Biletnikoff Award
    The Biletnikoff Award is an annual college football honor presented to the nation’s most outstanding receiver at any position.
  • 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_69ca843057b48190a86730167f5d6b98 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cdd33438988190be45878f98695816 completed April 2, 2026, 2:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2cc7c50b08190a04aa2f58a6c300a completed April 5, 2026, 8:56 p.m.
Created at: March 30, 2026, 9:05 p.m.