Triple

T14600659
Position Surface form Disambiguated ID Type / Status
Subject Rakim Athelaston Mayers E342693 entity
Predicate filmAppearance P795 FINISHED
Object "Dope" E237583 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: "Dope" | Statement: [Rakim Athelaston Mayers, filmAppearance, "Dope"]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: "Dope"
Context triple: [Rakim Athelaston Mayers, filmAppearance, "Dope"]
  • A. Dope chosen
    Dope is a 2015 coming-of-age comedy-drama film that follows a geeky teenager navigating life in a tough Los Angeles neighborhood after a chance encounter with the underground drug world.
  • B. Dope
    "Dope" is a song by Canadian singer-songwriter Jessie Reyez that showcases her raw, emotional vocal style and confessional lyricism.
  • C. Dope
    "Dope" is a hip-hop single by rapper Legend, showcasing his style and lyrical approach within the genre.
  • D. Dope
    Dope is an American industrial metal band known for its aggressive sound, dark aesthetic, and covers of popular songs.
  • E. Dope Money
    Dope Money is a track from Nigerian rapper Olamide’s album "Baddest Guy Ever Liveth," showcasing his street-influenced hip-hop style and lyrical bravado.
  • 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_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb438748081908020ce04b869866a completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94cc9fbc819090ae4efe9bc618aa completed May 8, 2026, 7:46 a.m.
Created at: April 10, 2026, 1:25 a.m.