Triple

T23266524
Position Surface form Disambiguated ID Type / Status
Subject Nancy Morgan E588162 entity
Predicate notableWork P4 FINISHED
Object Lucky Luke E627163 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: Lucky Luke | Statement: [Nancy Morgan, notableWork, Lucky Luke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lucky Luke
Context triple: [Nancy Morgan, notableWork, Lucky Luke]
  • A. Lucky Luke chosen
    Lucky Luke is a popular Franco-Belgian comic series about a quick-drawing cowboy in the American Old West, created by cartoonist Morris and later written by René Goscinny.
  • B. Mr. Cowboy
    Mr. Cowboy is the nickname of Bob Lilly, a Hall of Fame defensive tackle renowned as one of the greatest players in Dallas Cowboys history.
  • C. Lazy Luke
    Lazy Luke is a laid-back, slow-moving hillbilly racer from the classic Hanna-Barbera animated series "Wacky Races," known for driving the Arkansas Chuggabug with his mule, Blubber Bear.
  • D. Lucky Louie
    Lucky Louie is a short-lived HBO sitcom created by and starring comedian Louis C.K., known for its raw, unfiltered portrayal of working-class family life in a multi-camera format.
  • E. Ole the Gaucho
    Ole the Gaucho is the costumed cowboy-style mascot who represents the athletic teams and school spirit of the University of California, Santa Barbara.
  • 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_69e25d148adc819088efbf42672604e9 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f194cd13b48190a9c282545a34f348 completed April 29, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c3f7451b08190ac86309ede7d8cd6 completed May 19, 2026, 10:46 a.m.
Created at: April 17, 2026, 4:37 p.m.