Triple

T22559783
Position Surface form Disambiguated ID Type / Status
Subject Brain Drain E557779 entity
Predicate track P17929 FINISHED
Object I Believe in Miracles 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: I Believe in Miracles | Statement: [Brain Drain, track, I Believe in Miracles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: I Believe in Miracles
Context triple: [Brain Drain, track, I Believe in Miracles]
  • A. I Believe in Miracles chosen
    "I Believe in Miracles" is a song by the Ramones, known as one of the standout tracks from their late-1980s punk rock era.
  • B. Miracles
    Miracles is a short-lived early-2000s supernatural drama television series centered on investigations of unexplained religious and paranormal phenomena.
  • C. Miracles
    "Miracles" is an R&B song by American singer Stacy Lattisaw, recognized as one of her notable tracks from the 1980s.
  • D. Miracles
    "Miracles" is a 1972 studio album by Peruvian soprano Yma Sumac that blends exotica, psychedelic, and rock influences into her signature dramatic vocal style.
  • E. Miracles
    Miracles is a Christian apologetics book by C. S. Lewis that explores the philosophical possibility and theological significance of supernatural events breaking into the natural order.
  • 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_69e11e59db848190b4272ecd2b690ffd completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15f7c914881909584c46ae323c779 completed April 29, 2026, 1:31 a.m.
Created at: April 16, 2026, 8:52 p.m.