Triple

T16851984
Position Surface form Disambiguated ID Type / Status
Subject Biktarvy E409696 entity
Predicate hasTradeName P24555 FINISHED
Object Biktarvy E409696 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: Biktarvy | Statement: [Biktarvy, hasTradeName, Biktarvy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Biktarvy
Context triple: [Biktarvy, hasTradeName, Biktarvy]
  • A. Biktarvy chosen
    Biktarvy is a prescription combination antiretroviral medication used to treat HIV-1 infection in adults and certain children.
  • B. Vitrakvi
    Vitrakvi is a targeted cancer therapy (larotrectinib) used to treat solid tumors that have a specific NTRK gene fusion, regardless of the tumor’s location in the body.
  • C. Bunefer
    Bunefer was an ancient Egyptian queen of the late Fourth Dynasty, likely known from her tomb at Giza and associated with the royal family of that period.
  • D. Talycopa
    Talycopa is a locality or area within the community of Llansamlet in Swansea, Wales.
  • E. Skyrizi
    Skyrizi is a prescription biologic medication used to treat moderate to severe plaque psoriasis, psoriatic arthritis, and Crohn’s disease by targeting the interleukin-23 (IL-23) pathway.
  • 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_69d88395e6c88190b22730f335107c14 completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b379b8fc81908d8bc9950c7f8bad completed April 18, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb216fac81909d401c6b9911d1e0 completed May 10, 2026, 5:06 p.m.
Created at: April 10, 2026, 5:24 a.m.