Triple

T4432742
Position Surface form Disambiguated ID Type / Status
Subject Lydia E95370 entity
Predicate majorDeity P7648 FINISHED
Object Artemis E23283 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: Artemis | Statement: [Lydia, majorDeity, Artemis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Artemis
Context triple: [Lydia, majorDeity, Artemis]
  • A. Artemis chosen
    Artemis is the Greek goddess of the hunt, wilderness, and childbirth, often depicted as a virgin huntress and protector of young women and animals.
  • B. Athena
    Athena is the ancient Greek goddess of wisdom, warfare, and crafts, and the patron deity of the city of Athens.
  • C. 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.
  • D. Artemida
    Artemida is a coastal town in East Attica, Greece, known for its beaches and proximity to Athens.
  • E. Artemis V
    Artemis V is a planned NASA Artemis program mission that will send astronauts to the Moon, further developing sustained lunar exploration and preparation for future Mars missions.
  • 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_69b3453c2a0c8190926b574c90766db9 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3556cd83881908547aa311c4f17fa completed March 13, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6137171148190b77a6f783d5cf315 completed March 15, 2026, 2:03 a.m.
Created at: March 12, 2026, 11:31 p.m.