Triple

T4757457
Position Surface form Disambiguated ID Type / Status
Subject Palace of Odysseus in Ithaca E105622 entity
Predicate associatedWithCharacter P1481 FINISHED
Object Athena 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 | Statement: [Palace of Odysseus in Ithaca, associatedWithCharacter, Athena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Athena
Context triple: [Palace of Odysseus in Ithaca, associatedWithCharacter, Athena]
  • 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. 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.
  • 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. 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_69bd43f14cac819081c7c69803648211 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd64ec16a0819089836e4388b555f6 completed March 20, 2026, 3:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69be39ca8f6081909aecde545f211bb9 completed March 21, 2026, 6:25 a.m.
Created at: March 20, 2026, 1:20 p.m.