Triple

T23648494
Position Surface form Disambiguated ID Type / Status
Subject Yellow Ledbetter E584099 entity
Predicate hasBootlegPopularity P97301 FINISHED
Object high LITERAL 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: high | Statement: [Yellow Ledbetter, hasBootlegPopularity, high]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasBootlegPopularity
Context triple: [Yellow Ledbetter, hasBootlegPopularity, high]
  • A. isFrequentlyBootlegged
    Indicates that the subject is often copied, reproduced, or distributed unofficially or illegally, typically without authorization.
  • B. originallyBootleggedAs
    Indicates that a work was first distributed or circulated in an unauthorized or bootleg form under a particular title, format, or release before any official version.
  • C. hasBonusTrackStatus
    Indicates whether an item (such as a track or release) is designated as a bonus track in relation to a primary work or edition.
  • D. hasPopularityCharacteristic chosen
    Indicates that an entity possesses a particular attribute or quality related to its level or type of popularity.
  • E. hasEnduringPopularityOn
    Indicates that something continues to be widely liked, used, or appreciated on a particular platform, medium, or context over an extended period of time.
  • F. None of above.

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_69e248fefafc81909656921192f30e80 completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1b287606881909926de5efd882a76 completed April 29, 2026, 7:25 a.m.
PD Predicate disambiguation batch_69f118d7903c8190bb590a71771e93af completed April 28, 2026, 8:30 p.m.
Created at: April 17, 2026, 6:49 p.m.