Triple

T5334740
Position Surface form Disambiguated ID Type / Status
Subject Atys E123799 entity
Predicate character P662 FINISHED
Object Atys E123799 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: Atys | Statement: [Atys, character, Atys]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Atys
Context triple: [Atys, character, Atys]
  • A. Atys chosen
    Atys is a French Baroque opera (tragédie en musique) by Jean-Baptiste Lully, renowned for its refined musical style and its prominent place in the court of Louis XIV.
  • B. Aneityum
    Aneityum is the southernmost inhabited island of Vanuatu, known for its indigenous culture, lush landscapes, and role as a destination for cruise tourism.
  • C. Alatyr
    Alatyr is a historic town in the Chuvash Republic of Russia, known as a regional cultural center with roots dating back to the medieval period.
  • D. Tarsos
    Tarsos is the ancient name of the historic city of Tarsus in Cilicia, a significant cultural and commercial center in the eastern Mediterranean world.
  • E. Hnoss
    Hnoss is a figure in Norse mythology known as the beautiful daughter of the goddess Freyja, often associated with preciousness and treasure.
  • 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_69bd464b07f8819095aa76577c9829e4 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd85ae52c08190968a5567b7e6b794 completed March 20, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf18be4bb88190a2b83e51716e677e completed March 21, 2026, 10:16 p.m.
Created at: March 20, 2026, 2 p.m.