Triple

T16374746
Position Surface form Disambiguated ID Type / Status
Subject ECM Records E397651 entity
Predicate hasImprint P2763 FINISHED
Object ECM New Series E696944 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: ECM New Series | Statement: [ECM Records, hasImprint, ECM New Series]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ECM New Series
Context triple: [ECM Records, hasImprint, ECM New Series]
  • A. ECM New Series chosen
    ECM New Series is a renowned classical and contemporary music imprint of the ECM record label, known for its high-quality recordings, innovative repertoire, and distinctive sound aesthetic.
  • B. ECM
    ECM is a financial forecasting model developed by economist Martin Armstrong that predicts economic cycles and market turning points based on a recurring time interval.
  • C. EC-M
    EC-M is the vehicle registration and regional code assigned to the Macas area in Ecuador.
  • D. E.C.
    E.C. is a common shorthand nickname for the city of Eau Claire in western Wisconsin.
  • E. E&C
    E&C is the commonly used abbreviation for Enforcement and Compliance, typically referring to functions or departments responsible for ensuring adherence to laws, regulations, and internal policies.
  • 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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e319d6942081909616a2c6efee9967 completed April 18, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003561f83481909223c99bb83ebdf4 completed May 10, 2026, 7:36 a.m.
Created at: April 10, 2026, 5:08 a.m.