Triple

T17747196
Position Surface form Disambiguated ID Type / Status
Subject Save Me E443017 entity
Predicate hasTitle P38 FINISHED
Object Save Me — 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: Save Me | Statement: [Save Me, hasTitle, Save Me]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Save Me
Context triple: [Save Me, hasTitle, Save Me]
  • A. Save Me
    "Save Me" is a rock song by Remy Zero best known as the theme music for the television series Smallville.
  • B. Save Me
    "Save Me" is a popular rock song by the American band Hinder, known for its post-grunge style and emotionally charged lyrics.
  • C. Save Me
    "Save Me" is a 1980 rock ballad by Queen, written by guitarist Brian May and known for its emotional lyrics and powerful vocal performance by Freddie Mercury.
  • D. 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.
  • 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. chosen

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_69d8b9ed3a2081909b2ec0d4dd2f4c37 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47ad33160819093c9bbd3c8957314 completed April 19, 2026, 6:48 a.m.
Created at: April 10, 2026, 10:10 a.m.