Triple

T16675441
Position Surface form Disambiguated ID Type / Status
Subject Hyaena E405204 entity
Predicate hasTrack P3284 FINISHED
Object Belladonna E419004 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: Belladonna | Statement: [Hyaena, hasTrack, Belladonna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Belladonna
Context triple: [Hyaena, hasTrack, Belladonna]
  • A. Atropa chosen
    Atropa is a small genus of highly poisonous flowering plants best known for deadly nightshade, historically used as both a medicine and a toxin.
  • B. Monk’s Hood
    Monk’s Hood is a historical mystery novel by Ellis Peters featuring the medieval sleuth Brother Cadfael, set in 12th-century Shrewsbury.
  • C. Datura
    Datura is a genus of flowering plants known for its large, trumpet-shaped blooms and highly toxic, hallucinogenic properties.
  • D. Mandragora
    Mandragora is a small genus of often toxic, folklore-famous flowering plants known as mandrakes, traditionally associated with magical and medicinal uses.
  • E. Hyoscyamus
    Hyoscyamus is a small genus of toxic, psychoactive flowering plants commonly known as henbanes, historically used in medicine and witchcraft for their hallucinogenic and sedative properties.
  • 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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37d6a1960819098c5e3385693a87a completed April 18, 2026, 12:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a008a3ab8b481908b333b6a556a58d5 completed May 10, 2026, 1:38 p.m.
Created at: April 10, 2026, 5:19 a.m.