Triple

T21462734
Position Surface form Disambiguated ID Type / Status
Subject ABC Weekend TV E529512 entity
Predicate produced P490 FINISHED
Object Thank Your Lucky Stars 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: Thank Your Lucky Stars | Statement: [ABC Weekend TV, produced, Thank Your Lucky Stars]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thank Your Lucky Stars
Context triple: [ABC Weekend TV, produced, Thank Your Lucky Stars]
  • A. Thank Your Lucky Stars chosen
    Thank Your Lucky Stars is a 1943 American musical comedy film featuring an ensemble of Warner Bros. stars performing songs and sketches in a wartime charity show.
  • B. My Lucky Stars
    My Lucky Stars is a 1985 Hong Kong action-comedy film directed by and starring Sammo Hung, featuring Jackie Chan and Yuen Biao in a blend of martial arts, slapstick humor, and ensemble hijinks.
  • C. You Are My Lucky Star
    "You Are My Lucky Star" is a popular American song from the 1930s that became a standard, widely known through its performances in classic Hollywood musicals.
  • D. Your Star Will Shine
    "Your Star Will Shine" is a song by the English rock band The Stone Roses from their second album, "Second Coming."
  • E. 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.
  • 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_69e0c458133481908ae8b41a12c4edec completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9e9efdb188190be79b72e1bd18860 completed April 23, 2026, 9:44 a.m.
Created at: April 16, 2026, 6:09 p.m.