Triple

T17511789
Position Surface form Disambiguated ID Type / Status
Subject Ego Trip E426467 entity
Predicate recordLabel P1500 FINISHED
Object ADA Worldwide NE NERFINISHED

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: ADA Worldwide | Statement: [Ego Trip, recordLabel, ADA Worldwide]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ADA Worldwide
Context triple: [Ego Trip, recordLabel, ADA Worldwide]
  • A. ADA Worldwide chosen
    ADA Worldwide is a global music distribution and services company that partners with independent labels and artists to handle digital and physical releases worldwide.
  • B. AADA
    AADA is a renowned conservatory-style acting school in the United States known for training stage, film, and television performers.
  • C. Ad Council
    The Ad Council is a U.S. nonprofit organization that produces and promotes public service advertising campaigns on issues such as safety, health, and social responsibility.
  • D. ACA
    ACA is a professional scientific organization that promotes the study and application of crystallography and structural science, primarily in North America.
  • E. ACA
    ACA is the common abbreviation for the Affordable Care Act, a major U.S. health care reform law enacted in 2010 to expand insurance coverage and consumer protections.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889dd9164819087b1dc3c9240c870 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4525c21c88190a9394c4bce006a38 completed April 19, 2026, 3:56 a.m.
Created at: April 10, 2026, 5:48 a.m.