Triple

T16234148
Position Surface form Disambiguated ID Type / Status
Subject One Dream E394059 entity
Predicate hasCounterpart P6587 FINISHED
Object One World unclear NED1 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: One World | Statement: [One Dream, hasCounterpart, One World]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: One World
Context triple: [One Dream, hasCounterpart, One World]
  • A. One World
    "One World" is a song by the American new wave band Taboo, recognized for its blend of catchy melodies and socially conscious lyrics.
  • B. One World
    One World is an imprint of Random House known for publishing socially engaged and culturally significant fiction and nonfiction.
  • C. One World
    "One World" is a dance-pop song by American singer Erin Hamilton that contributed to her recognition in the late 1990s club music scene.
  • D. One World
    One World is a slogan and concept emphasizing global unity and shared humanity, often used in international events and campaigns promoting peace and cooperation.
  • E. We Got The World
    "We Got The World" is a dance-pop song produced by Swedish DJ and producer Patrik Berger, best known for its energetic, club-ready sound.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d87f204df88190a8f88923decf9835 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e23d2be2f881908ec2483507cb0b00 completed April 17, 2026, 2:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0007a28ff481908444393f2a6b1fac completed May 10, 2026, 4:20 a.m.
Created at: April 10, 2026, 5:04 a.m.