Triple

T17077670
Position Surface form Disambiguated ID Type / Status
Subject Avicii E414391 entity
Predicate secondStudioAlbum P6981 FINISHED
Object Stories E1249415 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: Stories | Statement: [Avicii, secondStudioAlbum, Stories]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stories
Context triple: [Avicii, secondStudioAlbum, Stories]
  • A. Stories
    Stories is Snapchat’s signature feature that lets users share photos and videos in a chronological sequence that disappears after 24 hours.
  • B. Stories chosen
    Stories is a 2015 studio album by Swedish DJ and producer Avicii that blends electronic dance music with pop, rock, and folk influences.
  • C. Story
    Story is a common English surname borne by various notable individuals across fields such as entertainment, sports, and public life.
  • D. Storytelling
    Storytelling is a 2001 dark comedy-drama film written and directed by Todd Solondz, known for its two-part structure that satirically explores themes of power, exploitation, and the ethics of narrative.
  • E. The Stories
    The Stories is the English translation of the name of Surah Al-Qasas, a chapter of the Qur’an that recounts key narratives of earlier prophets, especially the story of Moses.
  • 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_69d886cef44c8190ba56c44b4e863e64 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbc625c48190b679a521180e10ad completed April 18, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0139f7e6408190978c940c6e641d47 completed May 11, 2026, 2:07 a.m.
Created at: April 10, 2026, 5:34 a.m.