Triple

T8840120
Position Surface form Disambiguated ID Type / Status
Subject Mystery Jets E210363 entity
Predicate recordLabel P1500 FINISHED
Object Caroline International E341164 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: Caroline International | Statement: [Mystery Jets, recordLabel, Caroline International]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caroline International
Context triple: [Mystery Jets, recordLabel, Caroline International]
  • A. Caroline International chosen
    Caroline International is a global music label and services company that partners with artists and independent labels to distribute and promote their releases worldwide.
  • B. Caroline
    Caroline was a British princess of the early 18th century, the daughter of King George II and Queen Caroline of Ansbach.
  • C. Caroline
    Caroline is a feminine given name of French and Latin origin, commonly used in English-speaking and European countries.
  • D. Caroline
    Caroline of Ansbach was an 18th-century Queen consort of Great Britain and Ireland as the wife of King George II, noted for her political influence and patronage of the arts and sciences.
  • E. Caroline
    Caroline is a rural town in Tompkins County, New York, known for its small communities, scenic landscapes, and proximity to the city of Ithaca.
  • 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_69ca8388549c819095fd94eadefbb007 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6085fe24819095139f18da92d7e7 completed April 1, 2026, 12:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69cf899c5b288190b854acebc9fe33d1 completed April 3, 2026, 9:34 a.m.
Created at: March 30, 2026, 6:48 p.m.