Triple

T14553682
Position Surface form Disambiguated ID Type / Status
Subject Switchfoot E341481 entity
Predicate recordLabel P1500 FINISHED
Object Sparrow Records E430911 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: Sparrow Records | Statement: [Switchfoot, recordLabel, Sparrow Records]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sparrow Records
Context triple: [Switchfoot, recordLabel, Sparrow Records]
  • A. Sparrow Records chosen
    Sparrow Records is a prominent Christian music record label known for signing and promoting influential contemporary Christian artists.
  • B. Bluebird Records
    Bluebird Records was a prominent American jazz and blues record label of the 1930s and 1940s, known for influential recordings by major blues and swing artists.
  • C. Red Bird Records
    Red Bird Records was a 1960s American pop and girl-group record label co-founded by Jerry Leiber and Mike Stoller, known for hits like “Chapel of Love.”
  • D. Sunnyside Records
    Sunnyside Records is an independent jazz and world music label known for releasing innovative and artist-driven recordings.
  • E. Wildflower Records
    Wildflower Records is an independent music label founded by American folk singer-songwriter Judy Collins to release her own work and support other artists.
  • 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_69d822db9c8481908213ceb39585f792 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb2f00cec8190a7b6482d18b9a216 completed April 14, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe8bbfc6048190897f064a5686ebf8 completed May 9, 2026, 1:19 a.m.
Created at: April 10, 2026, 1:23 a.m.