Triple

T15349465
Position Surface form Disambiguated ID Type / Status
Subject Losing My Religion E367011 entity
Predicate hasPart P35 FINISHED
Object Miracles E481579 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: Miracles | Statement: [Losing My Religion, hasPart, Miracles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miracles
Context triple: [Losing My Religion, hasPart, Miracles]
  • A. Miracles chosen
    "Miracles" is an R&B song by American singer Stacy Lattisaw, recognized as one of her notable tracks from the 1980s.
  • B. Miracles
    Miracles is a short-lived early-2000s supernatural drama television series centered on investigations of unexplained religious and paranormal phenomena.
  • C. Miracle
    Miracle is a 2004 sports drama film depicting the U.S. men's ice hockey team's underdog victory over the Soviet Union at the 1980 Winter Olympics.
  • D. Miracle
    "Miracle" is a synth-pop single by Scottish band Chvrches, known for its anthemic chorus and darker, more aggressive production compared to much of their earlier work.
  • E. Miracle
    "Miracle" is a track featured on the release "Free TC," likely contributing to the album’s blend of contemporary R&B and hip-hop.
  • 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_69d85a1355608190a6673ddb67231d54 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e27f8a88190a0f65756e3a1fdfc completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff01fb46b48190a030e40ee0163559 completed May 9, 2026, 9:44 a.m.
Created at: April 10, 2026, 3:17 a.m.