Triple

T37522139
Position Surface form Disambiguated ID Type / Status
Subject NantKwest E932805 entity
Predicate usesMechanismOfAction P58119 FINISHED
Object activation of natural killer cells LITERAL 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: activation of natural killer cells | Statement: [NantKwest, usesMechanismOfAction, activation of natural killer cells]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesMechanismOfAction
Context triple: [NantKwest, usesMechanismOfAction, activation of natural killer cells]
  • A. mechanismOfActionStudied
    Indicates that the relationship involves examining or investigating how an action, intervention, or agent produces its effects or outcomes.
  • B. hasDrugInteractionMechanism
    Indicates that one substance affects another through a specific biological, chemical, or pharmacological mechanism that alters its drug action or effects.
  • C. hasPharmacologicalEffect
    Indicates that one entity produces a specific pharmacological effect or action on another entity.
  • D. usesDrug
    Indicates that an entity consumes, administers, or otherwise makes use of a specified drug.
  • E. mentionsMechanism chosen
    Indicates that one entity explicitly refers to or describes the mechanism, process, or causal pathway by which another entity operates or produces an effect.
  • F. None of above.

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_69f76ec730988190b5aa4f9cb9afd518 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fcef654d588190b29ecc76678d1aa0 completed May 7, 2026, 8 p.m.
PD Predicate disambiguation batch_69fcecdb97f48190b382b7d13be92dc0 completed May 7, 2026, 7:49 p.m.
Created at: May 3, 2026, 4:17 p.m.