Triple

T12258480
Position Surface form Disambiguated ID Type / Status
Subject Fever E292160 entity
Predicate hasViralStatus P66008 FINISHED
Object yes 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: yes | Statement: [Fever, hasViralStatus, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasViralStatus
Context triple: [Fever, hasViralStatus, yes]
  • A. hasViralMusicVideo
    Indicates that an entity possesses or is associated with a music video that has achieved viral popularity or widespread online circulation.
  • B. wentViralOn
    Indicates that content rapidly spread and gained widespread attention or popularity on a particular platform or medium.
  • C. usesViralVector
    Indicates that one entity employs a viral vector as a delivery mechanism or tool to introduce genetic material or components into another entity.
  • D. vowStatus
    Indicates the current state or condition of a commitment or promise made between entities, such as whether it is active, fulfilled, or broken.
  • E. spreadingStatus chosen
    Indicates the current state or progression of how something is spreading or being disseminated (e.g., whether and how it is expanding, stable, or declining).
  • 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_69d6ab67950c8190be08450a06228c4b completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d9380a5e78819086bd4dfe9a83d1f5 completed April 10, 2026, 5:48 p.m.
PD Predicate disambiguation batch_69d91c4a66cc819083ce6fcaf5042af6 completed April 10, 2026, 3:50 p.m.
Created at: April 8, 2026, 9:52 p.m.