Triple

T22485898
Position Surface form Disambiguated ID Type / Status
Subject Til the Medicine Takes E555875 entity
Predicate hasPart P35 FINISHED
Object Nobody’s Loss 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: Nobody’s Loss | Statement: [Til the Medicine Takes, hasPart, Nobody’s Loss]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nobody’s Loss
Context triple: [Til the Medicine Takes, hasPart, Nobody’s Loss]
  • A. Nobody’s Loss chosen
    "Nobody’s Loss" is a song featured on the album "Bombs & Butterflies" by the alternative rock band 7 Mary 3.
  • B. Nobody’s Fault
    "Nobody’s Fault" is a heavy, riff-driven hard rock song by Aerosmith, known for its dark lyrics and powerful guitar work and often cited as one of the band’s heaviest tracks.
  • C. Nothing to Lose
    "Nothing to Lose" is a song featured on the punk rock album "Run for Cover."
  • D. Nothing to Lose
    Nothing to Lose is a 1997 American buddy comedy film starring Tim Robbins and Martin Lawrence, written and directed by Steve Oedekerk.
  • E. Nothing to Lose
    Nothing to Lose is a thriller novel by Lee Child featuring his iconic drifter hero Jack Reacher as he investigates a sinister conspiracy in two neighboring Colorado towns.
  • 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_69e11e53897c819088863779f8c50bb0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15c3c6d808190b6dc70c3d1985bf3 completed April 29, 2026, 1:17 a.m.
Created at: April 16, 2026, 8:49 p.m.