Triple

T8113642
Position Surface form Disambiguated ID Type / Status
Subject Mike Luckovich E189415 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: [Mike Luckovich, awardReceived, Reuben Award]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reuben Award
Context triple: [Mike Luckovich, 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. 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.
  • D. Biletnikoff Award
    The Biletnikoff Award is an annual college football honor presented to the nation’s most outstanding receiver at any position.
  • E. Tony Jannus Award
    The Tony Jannus Award is a prestigious aviation honor recognizing outstanding contributions to the commercial airline industry.
  • 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_69ca82baad008190ab2859712b9b1607 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb432f2a24819097be6ab9b03567bd completed March 31, 2026, 3:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc9433a5848190aac09a2589061b53 completed April 1, 2026, 3:42 a.m.
Created at: March 30, 2026, 5:32 p.m.