Triple

T13793708
Position Surface form Disambiguated ID Type / Status
Subject Drogas Wave E331460 entity
Predicate follows P134 FINISHED
Object Drogas Light E331459 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: Drogas Light | Statement: [Drogas Wave, follows, Drogas Light]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Drogas Light
Context triple: [Drogas Wave, follows, Drogas Light]
  • A. Drogas Light chosen
    Drogas Light is a studio album by American rapper Lupe Fiasco that blends socially conscious lyrics with experimental, genre-spanning production.
  • B. Droguinhas
    "Droguinhas" is an experimental series of knotted and twisted paper sculptures by Brazilian artist Mira Schendel that explores language, materiality, and the physical form of thought.
  • C. Gramos
    Gramos is a mountain massif on the border between Greece and Albania, known for its rugged terrain and natural beauty within the Pindus mountain range.
  • D. Spliff Star
    Spliff Star is an American rapper and hype man best known for his longtime collaboration and energetic stage performances alongside Busta Rhymes.
  • E. Hooka
    "Hooka" is a reggaeton song by Puerto Rican artist Don Omar, recognized for its catchy rhythm and club-oriented style within his musical catalog.
  • 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_69d81c58feb08190a77bca8bf7d6d20f completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0259b0e4819081c11ced694384fb completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8d893448190b37ecbf8d2ded239 completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 10:11 p.m.