Triple

T1416493
Position Surface form Disambiguated ID Type / Status
Subject Epic Records E31929 entity
Predicate hasArtist P5936 FINISHED
Object George Michael E98964 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: George Michael | Statement: [Epic Records, hasArtist, George Michael]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Michael
Context triple: [Epic Records, hasArtist, George Michael]
  • A. George Michael chosen
    George Michael was an English singer, songwriter, and record producer who achieved global fame both as a member of Wham! and as a solo artist, becoming one of the best-selling musicians of all time.
  • B. Robbie Williams
    Robbie Williams is an English pop singer and entertainer who rose to fame with the boy band Take That before achieving massive success as a solo artist.
  • C. Boy George
    Boy George is an English singer, songwriter, and DJ best known as the flamboyant lead vocalist of the 1980s pop band Culture Club.
  • D. Paul Young
    Paul Young is an American politician serving as the mayor of Memphis, Tennessee.
  • E. Elton John
    Elton John is a legendary British singer, pianist, and composer known for his flamboyant style and numerous hit songs across several decades.
  • 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_69a49919a994819086528951bc224775 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c403ccdc8190b2a5fda037b6ea34 completed March 1, 2026, 10:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69ace5833bb88190bcaf8cf46264ab26 completed March 8, 2026, 2:57 a.m.
Created at: March 1, 2026, 7:59 p.m.