Triple

T15798087
Position Surface form Disambiguated ID Type / Status
Subject Built to Spill E383031 entity
Predicate recordLabel P1500 FINISHED
Object Up Records E645244 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: Up Records | Statement: [Built to Spill, recordLabel, Up Records]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Up Records
Context triple: [Built to Spill, recordLabel, Up Records]
  • A. Up Records chosen
    Up Records was an independent Seattle-based record label known for releasing influential 1990s indie rock, including early work by bands like Modest Mouse.
  • B. Brownstone Records
    Brownstone Records is a music label known for releasing soul and funk recordings, including work by influential James Brown collaborator Bobby Byrd.
  • C. Star Records
    Star Records is a Philippine-based music label known for producing and distributing albums for popular Filipino and Filipino-American artists.
  • D. 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.
  • E. Planet Records
    Planet Records was a record label known for releasing music by prominent artists such as The Pointer Sisters during the late 1970s and 1980s.
  • 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_69d86da16e188190b89af699f1ed0bfe completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b4def80481908f72733ce9133bc6 completed April 16, 2026, 10:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffe469012481908fd9955c72e756a3 completed May 10, 2026, 1:50 a.m.
Created at: April 10, 2026, 4:48 a.m.