Triple

T12726288
Position Surface form Disambiguated ID Type / Status
Subject Kwesi Arthur E304115 entity
Predicate associatedAct P37 FINISHED
Object Medikal E985592 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: Medikal | Statement: [Kwesi Arthur, associatedAct, Medikal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Medikal
Context triple: [Kwesi Arthur, associatedAct, Medikal]
  • A. Medikal chosen
    Medikal is a Ghanaian hip hop and Afrobeats rapper known for his witty wordplay, energetic delivery, and collaborations across the West African music scene.
  • B. Medicosma
    Medicosma is a genus of flowering plants in the citrus family Rutaceae, comprising shrubs and small trees native mainly to Australasia and nearby regions.
  • C. Medic
    The Medic is a Terran support unit in StarCraft: Brood War that specializes in healing biological allies and providing battlefield support with restorative and protective abilities.
  • D. Iron Medics
    Iron Medics is the nickname of the U.S. Army’s 1st Medical Brigade, a unit known for providing comprehensive medical support to military operations.
  • E. Strong Medicine
    Strong Medicine is an American medical drama television series that focuses on the personal and professional lives of female doctors at a women’s health clinic.
  • 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_69d7bdf084148190ab9d513dc0735af4 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96415ebe48190ae935bc3a9b00f65 completed April 10, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c85c6b88190bbdd94a43915a7a4 completed May 2, 2026, 10:36 p.m.
Created at: April 9, 2026, 5:25 p.m.