Triple

T16082560
Position Surface form Disambiguated ID Type / Status
Subject (God Must Have Spent) A Little More Time on You E390144 entity
Predicate recordLabel P1500 FINISHED
Object BMG E135662 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: BMG | Statement: [(God Must Have Spent) A Little More Time on You, recordLabel, BMG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BMG
Context triple: [(God Must Have Spent) A Little More Time on You, recordLabel, BMG]
  • A. BMG
    BMG is the commonly used abbreviation for Germany’s Federal Ministry of Health.
  • B. BMG chosen
    BMG is a major global music company known for its music publishing and recorded music services, representing a wide range of international artists and catalogs.
  • C. BMG
    BMG is the IATA airport code for Monroe County Airport serving Bloomington, Indiana.
  • D. BMG
    BMG is a prominent Orthodox Jewish yeshiva and center for advanced Talmudic study located in Lakewood, New Jersey.
  • E. BMG Interactive
    BMG Interactive was a mid-1990s video game publishing and distribution division of BMG Entertainment, known for releasing several notable console and PC titles before being absorbed into other companies.
  • 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_69d86daf32ec8190a8c0466c8f49c3c0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1844b86288190ad0452aad6bdd5fb completed April 17, 2026, 12:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffe48cf76c8190bc96168fc2326ffb completed May 10, 2026, 1:51 a.m.
Created at: April 10, 2026, 4:57 a.m.