Triple

T3432542
Position Surface form Disambiguated ID Type / Status
Subject XO Records E72370 entity
Predicate notableRelease P13405 FINISHED
Object Dawn FM E331486 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: Dawn FM | Statement: [XO Records, notableRelease, Dawn FM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dawn FM
Context triple: [XO Records, notableRelease, Dawn FM]
  • A. Dawn FM chosen
    Dawn FM is a 2022 concept album by Canadian singer The Weeknd that blends synth-pop, R&B, and dance influences within a surreal radio-broadcast framework.
  • B. Wasafi FM
    Wasafi FM is a Tanzanian radio station associated with the Wasafi media brand founded by musician Diamond Platnumz, known for broadcasting contemporary Bongo Flava and entertainment content.
  • C. Radio Farda
    Radio Farda is a U.S.-funded Persian-language news radio service that broadcasts independent news and information to audiences in Iran.
  • D. Radio Sawa
    Radio Sawa is a U.S.-funded Arabic-language radio network that broadcasts news, music, and information to audiences across the Middle East and North Africa.
  • E. Radio Azadi
    Radio Azadi is the Afghan service of Radio Free Europe/Radio Liberty, providing independent news and information primarily to audiences in Afghanistan.
  • 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_69ad85ae14308190bcbc25cfa0246c0b completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb9c077d48190bee40795cab3e422 completed March 8, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3547d3f4c8190bc6811398bd8f080 completed March 13, 2026, 12:04 a.m.
Created at: March 8, 2026, 3:15 p.m.