Triple

T8175778
Position Surface form Disambiguated ID Type / Status
Subject We Global E190933 entity
Predicate label P38 FINISHED
Object Koch Records E329829 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: Koch Records | Statement: [We Global, label, Koch Records]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Koch Records
Context triple: [We Global, label, Koch Records]
  • A. Koch Records chosen
    Koch Records is an independent American record label known for distributing and promoting a wide range of hip-hop and urban music artists.
  • B. Kemosabe Records
    Kemosabe Records is an American record label founded by producer Dr. Luke, known for signing prominent pop and hip-hop artists such as Doja Cat.
  • C. Regal Recordings
    Regal Recordings is a British record label known for signing prominent artists such as Lily Allen and releasing influential pop and alternative music.
  • D. Coconut Records
    Coconut Records is the indie pop music project of actor and musician Jason Schwartzman, known for its melodic, lo-fi albums and soundtrack-friendly songs.
  • E. SteepleChase Records
    SteepleChase Records is a Danish jazz record label known for its extensive catalog of recordings by prominent American and European jazz musicians, particularly from the 1970s onward.
  • 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_69ca82c1c0a08190bf8692b4d91a03ca completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4ab8295081909a450fcaa34f6ec6 completed March 31, 2026, 4:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69cced64c9588190b8db6452c364347d completed April 1, 2026, 10:03 a.m.
Created at: March 30, 2026, 5:40 p.m.