Triple

T13672842
Position Surface form Disambiguated ID Type / Status
Subject Chasing Summer E327793 entity
Predicate hasSingle P3282 FINISHED
Object You Can’t Save Me E1052057 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: You Can’t Save Me | Statement: [Chasing Summer, hasSingle, You Can’t Save Me]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: You Can’t Save Me
Context triple: [Chasing Summer, hasSingle, You Can’t Save Me]
  • A. You Can’t Save Me chosen
    "You Can’t Save Me" is a song by rapper and singer SiR from his album "Chasing Summer."
  • B. Don’t Save Her
    "Don’t Save Her" is a 2001 Southern hip hop track by Project Pat featuring Crunchy Black, best known for its memorable hook that has been widely sampled and referenced in later rap music.
  • C. Save Me
    "Save Me" is a critically acclaimed song by American singer-songwriter Aimee Mann, best known for its prominent use in the film *Magnolia* and its nomination for the Academy Award for Best Original Song.
  • D. Save Me
    "Save Me" is a 1994 American romantic comedy film starring Anne Heche and directed by Alan Roberts.
  • E. Save Me
    "Save Me" is a song by South Korean singer Taeyeon from her album "Ytilaer," showcasing her emotive vocals and introspective pop style.
  • 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_69d8076f1fa8819094664a59b55010df completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc65aab348190a6611f5765f8392d completed April 12, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7943dbf748190b41abfe9d81d1427 completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:53 p.m.