Triple

T19861375
Position Surface form Disambiguated ID Type / Status
Subject Change of Heart E477270 entity
Predicate followsSingle P9710 FINISHED
Object You Got Lucky 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 Got Lucky | Statement: [Change of Heart, followsSingle, You Got Lucky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: You Got Lucky
Context triple: [Change of Heart, followsSingle, You Got Lucky]
  • A. You Got Lucky chosen
    "You Got Lucky" is a 1982 rock song by Tom Petty and the Heartbreakers, known for its prominent synthesizer riff and its post-apocalyptic themed music video.
  • B. I Got Lucky
    "I Got Lucky" is a song written by Dolores Fuller that became known through its recording by Elvis Presley.
  • C. I’m Just a Lucky So-and-So
    "I’m Just a Lucky So-and-So" is a popular jazz standard, often associated with Duke Ellington, featuring lyrics by Mack David.
  • D. My Lucky Day
    "My Lucky Day" is a rock song by Bruce Springsteen featured on his 2009 album *Working on a Dream*.
  • E. 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.
  • 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_69d8e51e7d948190aedbcd6c30361c39 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6589b3cbc8190afe847e83f04c45b completed April 20, 2026, 4:47 p.m.
Created at: April 10, 2026, 1:51 p.m.