Triple

T6882807
Position Surface form Disambiguated ID Type / Status
Subject Goody Mob E158839 entity
Predicate recordLabel P1500 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: [Goody Mob, recordLabel, Koch Records]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Koch Records
Context triple: [Goody Mob, recordLabel, 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_69c688342f6c8190ad7eea6ba262db99 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d8e90c9481908d00634f67fa71f8 completed March 27, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c742d00d848190a4bab9800a7e3888 completed March 28, 2026, 2:54 a.m.
Created at: March 27, 2026, 2:23 p.m.