Triple

T15584143
Position Surface form Disambiguated ID Type / Status
Subject Louis Székely E374574 entity
Predicate notableWork P4 FINISHED
Object Lucky Louie E374576 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 Louie | Statement: [Louis Székely, notableWork, Lucky Louie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lucky Louie
Context triple: [Louis Székely, notableWork, Lucky Louie]
  • A. Lucky Louie chosen
    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.
  • B. Mr. Lucky
    Mr. Lucky is a blues album by John Lee Hooker that features his signature electric blues style and collaborations with several prominent guest musicians.
  • C. Mr. Lucky
    Mr. Lucky is a 1943 romantic comedy-drama film starring Cary Grant as a charming gambler who becomes involved with a charitable organization during World War II.
  • D. Louie
    Louie is a masculine given name, often used as a diminutive of Louis.
  • E. Louie
    Louie is a recurring comedy sketch from the MTV series "The State," known for its absurd running gag centered on a character who constantly tries to make everything "about Louie."
  • 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_69d85ccd575081908909b71a3f3e3a61 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e47971481909e986dd999354628 completed April 16, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c4f71e48190a15eb0a2138f083f completed May 9, 2026, 3:01 p.m.
Created at: April 10, 2026, 4:11 a.m.