Triple

T3228760
Position Surface form Disambiguated ID Type / Status
Subject Hinder E67685 entity
Predicate single P3283 FINISHED
Object Save Me E338866 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: Save Me | Statement: [Hinder, single, Save Me]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Save Me
Context triple: [Hinder, single, Save Me]
  • A. Save Me chosen
    "Save Me" is a popular rock song by the American band Hinder, known for its post-grunge style and emotionally charged lyrics.
  • B. The Love You Save
    "The Love You Save" is a 1970 Motown soul single by the Jackson 5, known for its upbeat sound, socially conscious lyrics, and Michael Jackson's dynamic lead vocal.
  • C. Protect Me From What I Want
    "Protect Me From What I Want" is a widely recognized text-based artwork by conceptual artist Jenny Holzer, emblematic of her use of provocative aphorisms to critique power, desire, and consumer culture.
  • D. Savior
    Savior is a Christian title for Jesus Christ, emphasizing his role as the divine redeemer who delivers humanity from sin and spiritual death.
  • E. You Lost Me
    "You Lost Me" is a soulful pop ballad by Christina Aguilera from her 2010 album *Bionic*, noted for its emotional vocals and themes of heartbreak and betrayal.
  • 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_69ad858c61888190a31196310d9b30b5 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaeb6f8588190a33a9d6c779e8992 completed March 8, 2026, 5:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2772e3e2081908dec43f8e4a2fb51 completed March 12, 2026, 8:19 a.m.
Created at: March 8, 2026, 3:08 p.m.