Triple

T17389977
Position Surface form Disambiguated ID Type / Status
Subject Andrzej Sekuła E422792 entity
Predicate notableWork P4 FINISHED
Object Lucky Number Slevin NE NERFINISHED

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 Number Slevin | Statement: [Andrzej Sekuła, notableWork, Lucky Number Slevin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lucky Number Slevin
Context triple: [Andrzej Sekuła, notableWork, Lucky Number Slevin]
  • A. Lucky Number Slevin chosen
    Lucky Number Slevin is a 2006 neo-noir crime thriller film known for its twist-filled plot and ensemble cast including Josh Hartnett, Bruce Willis, Morgan Freeman, and Ben Kingsley.
  • B. Lucky
    Lucky is the protagonist of the 1993 film "Poetic Justice," portrayed by Tupac Shakur as a sensitive and complex mail carrier navigating love, grief, and self-discovery.
  • C. Lucky
    "Lucky" is a popular Afrobeats/hip-hop song by Ghanaian rapper Sarkodie, known for its smooth blend of rap and melodic vocals.
  • D. Lucky
    "Lucky" is a rock album by American singer-songwriter Melissa Etheridge, known for its introspective lyrics and soulful, guitar-driven sound.
  • E. Lucky
    Lucky is one of the most recognizable Dalmatian puppies in Disney's "101 Dalmatians," known for his distinctive spots and plucky, TV-obsessed personality.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889d710288190bf0f4762801fefae completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43ab950d4819098d6a46f67c46191 completed April 19, 2026, 2:15 a.m.
Created at: April 10, 2026, 5:45 a.m.