Triple

T7902162
Position Surface form Disambiguated ID Type / Status
Subject Tissues and Issues E183477 entity
Predicate recordLabel P1500 FINISHED
Object Daylight Records E190222 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: Daylight Records | Statement: [Tissues and Issues, recordLabel, Daylight Records]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daylight Records
Context triple: [Tissues and Issues, recordLabel, Daylight Records]
  • A. Daylight Records chosen
    Daylight Records is a music label known for releasing recordings by artists such as Welsh singer Charlotte Church.
  • B. Daybreak Records
    Daybreak Records is a music label known for releasing recordings by American singer and bandleader Frank Sinatra Jr.
  • C. Sunnyside Records
    Sunnyside Records is an independent jazz and world music label known for releasing innovative and artist-driven recordings.
  • D. Downtown Records
    Downtown Records is an independent American record label known for working with influential hip-hop and alternative artists.
  • E. 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.
  • 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_69ca828d13088190b222be7aa9f9315c completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a40a0508190864479c2c41b12cb completed March 31, 2026, 3:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5bbd93348190883c6152f18f8214 completed March 31, 2026, 5:29 a.m.
Created at: March 30, 2026, 5:02 p.m.