Triple

T5095350
Position Surface form Disambiguated ID Type / Status
Subject Daniela Mercury E114850 entity
Predicate recordLabel P1500 FINISHED
Object Universal Music E37181 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: Universal Music | Statement: [Daniela Mercury, recordLabel, Universal Music]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Universal Music
Context triple: [Daniela Mercury, recordLabel, Universal Music]
  • A. Universal Music Group chosen
    Universal Music Group is one of the world’s largest and most influential music companies, encompassing major record labels and a vast roster of global artists.
  • B. Universal Records
    Universal Records was a major American record label that operated under the Universal Music Group umbrella and released music across a wide range of popular genres.
  • C. Warner Music Group
    Warner Music Group is a major global music entertainment company and record label conglomerate representing a wide range of internationally successful artists.
  • D. Epic Records
    Epic Records is a major American record label known for signing and promoting numerous globally successful artists across pop, R&B, and rock music.
  • E. Universal Music Publishing Group
    Universal Music Publishing Group is a major global music publishing company that administers and licenses song copyrights for a vast catalog of songwriters and composers worldwide.
  • 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_69bd443fc49c819089629c00e311310c completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7563ad608190879a26a0bf07c3f6 completed March 20, 2026, 4:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf10ba84d88190babe5d9f676ba7b6 completed March 21, 2026, 9:42 p.m.
Created at: March 20, 2026, 1:40 p.m.