Triple

T8831227
Position Surface form Disambiguated ID Type / Status
Subject Rube Goldberg E210146 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: [Rube Goldberg, awardReceived, Reuben Award]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reuben Award
Context triple: [Rube Goldberg, 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_69ca8365b28081909e48e45e95dfc405 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc604ed2b88190b4f53b34b5a438f7 completed April 1, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69cf896cf5a8819098a76288bd505c1e completed April 3, 2026, 9:33 a.m.
Created at: March 30, 2026, 6:47 p.m.