Triple

T22257609
Position Surface form Disambiguated ID Type / Status
Subject The Grey Album E550132 entity
Predicate hasTrack P3284 FINISHED
Object Allure 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: Allure | Statement: [The Grey Album, hasTrack, Allure]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Allure
Context triple: [The Grey Album, hasTrack, Allure]
  • A. Allure
    Allure is a Condé Nast beauty-focused magazine and media brand known for its coverage of cosmetics, skincare, and style trends.
  • B. Allure chosen
    Allure is a track featured on Metallica’s influential 1991 self-titled release commonly known as The Black Album.
  • C. Allure
    Allure is a trance music project and alias closely associated with Dutch DJ and producer Tiësto, known for melodic, vocal-driven tracks in the late 1990s and 2000s.
  • D. Belleza
    Belleza is a high-ranking admiral of the Valuan Armada and a playable party member in the role-playing game Skies of Arcadia.
  • E. The Beauty Underneath
    "The Beauty Underneath" is a dark, rock-influenced musical number from Andrew Lloyd Webber’s sequel to The Phantom of the Opera, exploring the Phantom’s fascination with hidden inner beauty.
  • 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_69e11e42adb8819087714772ea606709 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f138c3cf64819087e270a1f50e629e completed April 28, 2026, 10:46 p.m.
Created at: April 16, 2026, 8:39 p.m.