Triple

T14253888
Position Surface form Disambiguated ID Type / Status
Subject Arc of Infinity E353336 entity
Predicate featuresCharacter P626 FINISHED
Object Nyssa E378476 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: Nyssa | Statement: [Arc of Infinity, featuresCharacter, Nyssa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nyssa
Context triple: [Arc of Infinity, featuresCharacter, Nyssa]
  • A. Nyssa chosen
    Nyssa is a companion of the Fifth Doctor in the long-running British science fiction television series Doctor Who.
  • B. Nyssa
    Nyssa is a small genus of deciduous trees native to North America and East Asia, commonly known as tupelos or gum trees, valued for their attractive foliage and ecological importance.
  • C. Ahorn
    Ahorn is a municipality in the Bavarian region of Germany, known for its rural character and proximity to the city of Coburg.
  • D. Arbutus
    Arbutus is an unincorporated community in Baltimore County, Maryland, known as a residential suburb of Baltimore near the University of Maryland, Baltimore County.
  • E. Zelkova
    Zelkova is a small genus of deciduous trees in the elm family, valued as ornamentals and for bonsai, and native to parts of Europe and Asia.
  • 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_69d8278c43e08190824146f4632b89a5 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6297f38c819090d7c7fd8bfa2e9e completed April 14, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d127f0c81908dea42ca09c1abda completed May 8, 2026, 1:32 a.m.
Created at: April 10, 2026, 1:09 a.m.