Triple

T8544441
Position Surface form Disambiguated ID Type / Status
Subject Rush E202283 entity
Predicate recordLabel P1500 FINISHED
Object Mercury Records E27942 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: Mercury Records | Statement: [Rush, recordLabel, Mercury Records]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mercury Records
Context triple: [Rush, recordLabel, Mercury Records]
  • A. Mercury Records chosen
    Mercury Records is a major American record label known for releasing influential recordings across genres such as pop, rock, jazz, and R&B since the mid-20th century.
  • B. Savoy Records
    Savoy Records is a pioneering American jazz and blues record label renowned for recording influential bebop artists such as Charlie Parker.
  • C. King Records
    King Records was an influential American independent record label, particularly known for its R&B, country, and early rock and roll releases in the mid-20th century.
  • D. Peacock Records
    Peacock Records was an influential mid-20th-century American rhythm and blues and gospel record label based in Houston, Texas.
  • E. Duke Records
    Duke Records was an influential American rhythm and blues and soul record label, best known for releasing classic recordings by artists such as Bobby "Blue" Bland.
  • 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_69ca832461e88190a654c5e44e233aa8 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe6e4e21c8190afcbca73713a5fa8 completed March 31, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea86036a881909cd1744cdb5b7a7f completed April 2, 2026, 5:33 p.m.
Created at: March 30, 2026, 6:18 p.m.