Triple

T17026037
Position Surface form Disambiguated ID Type / Status
Subject My Lucky Stars E413065 entity
Predicate title P38 FINISHED
Object My Lucky Stars E413065 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: My Lucky Stars | Statement: [My Lucky Stars, title, My Lucky Stars]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: My Lucky Stars
Context triple: [My Lucky Stars, title, My Lucky Stars]
  • A. My Lucky Stars chosen
    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.
  • B. 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.
  • C. Lucky Me
    "Lucky Me" is a 1954 Technicolor musical comedy film starring Doris Day as a superstitious chorus girl who finds romance and career opportunities in Miami.
  • D. Lucky Me
    "Lucky Me" is a track featured on Big Sean's 2020 hip-hop album "Detroit 2."
  • E. My Lucky Day
    "My Lucky Day" is a rock song by Bruce Springsteen featured on his 2009 album *Working on a Dream*.
  • 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_69d886cc4170819093deddc7b8b4b6a7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d5d46a5081908bc5681621dd8534 completed April 18, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012334c3b48190b125ab926450c45b completed May 11, 2026, 12:30 a.m.
Created at: April 10, 2026, 5:33 a.m.