Triple

T5911086
Position Surface form Disambiguated ID Type / Status
Subject Cetus E131458 entity
Predicate opposedBy P437 FINISHED
Object Athena (indirectly, as patron of Perseus) E13958 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: Athena (indirectly, as patron of Perseus) | Statement: [Cetus, opposedBy, Athena (indirectly, as patron of Perseus)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Athena (indirectly, as patron of Perseus)
Context triple: [Cetus, opposedBy, Athena (indirectly, as patron of Perseus)]
  • A. Athena chosen
    Athena is the ancient Greek goddess of wisdom, warfare, and crafts, and the patron deity of the city of Athens.
  • B. Athena
    Athena is the enigmatic, spiritually gifted protagonist of Paulo Coelho’s novel "The Witch of Portobello," whose search for identity and the divine challenges social and religious conventions.
  • C. Hera
    Hera is the queen of the Olympian gods in Greek mythology, revered as the goddess of marriage, women, and family.
  • D. Artemis
    Artemis is the Greek goddess of the hunt, wilderness, and childbirth, often depicted as a virgin huntress and protector of young women and animals.
  • E. Athénaïs
    Athénaïs was the familiar name of Madame de Montespan, the influential chief mistress of King Louis XIV of France and a prominent figure at the 17th-century French court.
  • 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_69c008593a44819081a07ae0efe6c574 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c037767af08190b5678cff9fd0816f completed March 22, 2026, 6:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b17375488190a3053d37712501b3 completed March 23, 2026, 3:20 a.m.
Created at: March 22, 2026, 3:59 p.m.