Triple

T22273044
Position Surface form Disambiguated ID Type / Status
Subject Faizon Love E550526 entity
Predicate notableWork P4 FINISHED
Object Just My Luck 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: Just My Luck | Statement: [Faizon Love, notableWork, Just My Luck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Just My Luck
Context triple: [Faizon Love, notableWork, Just My Luck]
  • A. Just My Luck
    Just My Luck is a 1957 British comedy film starring Norman Wisdom as a timid jeweller’s assistant whose attempts to improve his luck lead to a series of chaotic misadventures.
  • B. Just My Luck chosen
    Just My Luck is a 2006 romantic comedy film starring Lindsay Lohan as a perpetually lucky young woman whose fortune reverses after a chance encounter.
  • C. Wish Me Luck
    Wish Me Luck is a British television drama series about female secret agents operating in occupied France during World War II.
  • D. Lucky You
    Lucky You is a 2007 romantic drama film set in the high-stakes world of professional poker in Las Vegas, starring Eric Bana and Drew Barrymore.
  • E. Lucky You
    "Lucky You" is a hip hop track by Eminem featuring Joyner Lucas, known for its rapid-fire verses and introspective lyrics about success and criticism in the rap industry.
  • 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_69e11e43d8208190aff4f9cf7f2c2a8a completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f14ea547e4819098baf88f3c605242 completed April 29, 2026, 12:19 a.m.
Created at: April 16, 2026, 8:40 p.m.