Triple

T21488615
Position Surface form Disambiguated ID Type / Status
Subject Our Man in Jazz E530176 entity
Predicate track P17929 FINISHED
Object You Are My Lucky Star — 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: You Are My Lucky Star | Statement: [Our Man in Jazz, track, You Are My Lucky Star]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: You Are My Lucky Star
Context triple: [Our Man in Jazz, track, You Are My Lucky Star]
  • A. You Are My Lucky Star chosen
    "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.
  • 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. Thank Your Lucky Stars
    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.
  • D. Lucky Star
    "Lucky Star" is a 1983 dance-pop song by Madonna that became one of her early hits and helped establish her as a major pop icon.
  • E. My Lucky Star
    My Lucky Star is a Hong Kong romantic comedy film featuring Ronald Cheng in a prominent role.
  • 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_69e0c45acc3881908e38d3f28964152b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea390bd88190bc444e6af275f6e8 completed April 23, 2026, 9:45 a.m.
Created at: April 16, 2026, 6:22 p.m.