Triple

T5334743
Position Surface form Disambiguated ID Type / Status
Subject Atys E123799 entity
Predicate character P662 FINISHED
Object Cybele E122201 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: Cybele | Statement: [Atys, character, Cybele]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cybele
Context triple: [Atys, character, Cybele]
  • A. Cybele chosen
    Cybele is an ancient Anatolian mother goddess later adopted into Greek and Roman religion, revered as a powerful protector of nature, fertility, and wild places.
  • B. Astarte
    Astarte is an ancient Near Eastern goddess associated primarily with fertility, sexuality, and war, venerated across Canaanite, Phoenician, and later Mediterranean cultures.
  • C. Tanit
    Tanit is a major Punic and Phoenician goddess associated with fertility, motherhood, and protection, especially venerated in Carthage.
  • D. Artemida
    Artemida is a coastal town in East Attica, Greece, known for its beaches and proximity to Athens.
  • E. HERA
    HERA is a 2008 U.S. federal law enacted in response to the subprime mortgage crisis to stabilize the housing market, reform mortgage regulation, and support troubled homeowners and financial institutions.
  • 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.