Triple

T14807846
Position Surface form Disambiguated ID Type / Status
Subject Tim Hecker E348085 entity
Predicate recordLabel P1500 FINISHED
Object Paper Bag Records E787253 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: Paper Bag Records | Statement: [Tim Hecker, recordLabel, Paper Bag Records]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paper Bag Records
Context triple: [Tim Hecker, recordLabel, Paper Bag Records]
  • A. Paper Bag Records chosen
    Paper Bag Records is an independent Canadian record label known for releasing music by a range of acclaimed indie and experimental artists.
  • B. Monkeywrench Records
    Monkeywrench Records is an independent record label known for releasing music by experimental noise rock acts such as Lightning Bolt.
  • C. Monkeywrench Records
    Monkeywrench Records is the independent record label founded and used by the rock band Pearl Jam to release their music.
  • D. 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.
  • E. Doghouse Records
    Doghouse Records is an independent American record label known for releasing influential emo and punk bands such as The Get Up Kids in the 1990s and 2000s.
  • 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_69d822ea8b7c819097dfadf3d45545e6 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decf33b6a08190ab6a4cfeda2cc09c completed April 14, 2026, 11:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24c8bc6881908736c029943997ae completed May 8, 2026, 6 p.m.
Created at: April 10, 2026, 1:42 a.m.