Triple

T16677340
Position Surface form Disambiguated ID Type / Status
Subject Back into Your System E405245 entity
Predicate hasPart P35 FINISHED
Object Weight of the World E1109829 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: Weight of the World | Statement: [Back into Your System, hasPart, Weight of the World]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Weight of the World
Context triple: [Back into Your System, hasPart, Weight of the World]
  • A. Weight of the World
    Weight of the World is a philosophical work by Hannah Arendt that continues her exploration of modern political and moral experience through reflections on human suffering, responsibility, and meaning.
  • B. Weight of the World chosen
    "Weight of the World" is a song featured on Blue October's album *Approaching Normal*.
  • C. Against the World
    "Against the World" is a song by the American pop-rock band Hanson.
  • D. What a World
    "What a World" is a track featured on the hip hop album *Universal Mind Control* by Common.
  • E. The World Will Know
    "The World Will Know" is a defiant protest anthem from the stage musical Newsies, sung by the newsboys as they unite to strike against powerful publishers.
  • 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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37d6c805c81909fbe4fcb20eedbe1 completed April 18, 2026, 12:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a008a3c79888190b6ddd55b91d97183 completed May 10, 2026, 1:38 p.m.
Created at: April 10, 2026, 5:19 a.m.