Triple

T5456123
Position Surface form Disambiguated ID Type / Status
Subject Atys E122481 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_69bd46424248819085282ddf50a565f3 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd91eeb7ac8190bf2e02f7946bf2bf completed March 20, 2026, 6:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf70d5dba4819086585fba83134f2b completed March 22, 2026, 4:32 a.m.
Created at: March 20, 2026, 2:08 p.m.