Triple

T10008659
Position Surface form Disambiguated ID Type / Status
Subject Beggars Banquet Records E198313 entity
Predicate hasImprint P2763 FINISHED
Object Too Pure E464353 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: Too Pure | Statement: [Beggars Banquet Records, hasImprint, Too Pure]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Too Pure
Context triple: [Beggars Banquet Records, hasImprint, Too Pure]
  • A. Too Pure chosen
    Too Pure was an influential British independent record label known for releasing innovative alternative and indie rock music in the 1990s and 2000s.
  • B. Someone Purer
    "Someone Purer" is an anthemic indie rock song by British band Mystery Jets, known for its soaring melody and introspective lyrics about redemption and self-discovery.
  • C. The Purity
    The Purity is an English name for Surah Al-Ikhlas, a short but central chapter of the Qur’an that emphasizes the absolute oneness and uniqueness of God.
  • D. Pure
    Pure is the debut EP by American noise rock band The Jesus Lizard, showcasing their early abrasive sound and setting the stage for their later influential releases.
  • E. Purify
    Purify is a software debugging and memory error detection tool originally developed by Pure Software to help developers identify and fix runtime memory issues in their programs.
  • 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_69ca830fcca48190bbbd9b20c233835f completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd38659c8190830d223edbfd74ec completed April 2, 2026, 1:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69d26a683c208190a79ebc2e6ec5893c completed April 5, 2026, 1:58 p.m.
Created at: March 30, 2026, 8:52 p.m.