Triple

T16374409
Position Surface form Disambiguated ID Type / Status
Subject Crystal Silence E397644 entity
Predicate recordedForLabel P33167 FINISHED
Object ECM 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 | Statement: [Crystal Silence, recordedForLabel, ECM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ECM
Context triple: [Crystal Silence, recordedForLabel, ECM]
  • A. 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.
  • B. EC-M
    EC-M is the vehicle registration and regional code assigned to the Macas area in Ecuador.
  • C. 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.
  • D. ECUM
    ECUM is the School of Sciences at the University of Minho, a Portuguese higher education institution focused on scientific education and research.
  • E. EMCC
    EMCC is a public community college in Bangor, Maine, offering two-year degree and certificate programs focused on career and technical education.
  • 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_69d87f2778dc8190aa95c7572db127e6 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.