Triple

T22690419
Position Surface form Disambiguated ID Type / Status
Subject larotrectinib E561035 entity
Predicate hasTradeName P24555 FINISHED
Object Vitrakvi NE NERFINISHED

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: Vitrakvi | Statement: [larotrectinib, hasTradeName, Vitrakvi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vitrakvi
Context triple: [larotrectinib, hasTradeName, Vitrakvi]
  • A. Vitrakvi chosen
    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.
  • B. Biktarvy
    Biktarvy is a prescription combination antiretroviral medication used to treat HIV-1 infection in adults and certain children.
  • C. Talycopa
    Talycopa is a locality or area within the community of Llansamlet in Swansea, Wales.
  • D. Evrysdi
    Evrysdi is an oral prescription medication used to treat spinal muscular atrophy (SMA) by increasing production of the survival motor neuron (SMN) protein.
  • E. Darzalex
    Darzalex is a monoclonal antibody drug (daratumumab) used primarily in the treatment of multiple myeloma.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2454d71b48190a1f80af9f82b6fcf completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1789a1fd08190bce5fa0babe695d3 completed April 29, 2026, 3:18 a.m.
Created at: April 17, 2026, 3:13 p.m.