Triple

T20971758
Position Surface form Disambiguated ID Type / Status
Subject Jorma Kaukonen E516515 entity
Predicate recordLabel P1500 FINISHED
Object Red House Records NE NERFINISHED

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: Red House Records | Statement: [Jorma Kaukonen, recordLabel, Red House Records]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Red House Records
Context triple: [Jorma Kaukonen, recordLabel, Red House Records]
  • A. Red House Records chosen
    Red House Records is an independent American record label best known for its roster of folk, blues, and Americana artists.
  • B. 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.”
  • C. Red Hill Records
    Red Hill Records is a Christian music label known for releasing Katy Perry’s early gospel album before her mainstream pop breakthrough.
  • D. Madhouse Records
    Madhouse Records is a Jamaican record label known for producing influential dancehall and reggae music, including work with artists like Baby Cham.
  • E. Blue Chair Records
    Blue Chair Records is the country music label founded by Kenny Chesney to release his own recordings and related projects with greater creative control.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4fee5ac8190875fa9ceba1a5e5e completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fba027708190a49e95b0031d980d completed April 21, 2026, 4:22 a.m.
Created at: April 16, 2026, 1:44 p.m.