Triple

T8229533
Position Surface form Disambiguated ID Type / Status
Subject Amazons E192254 entity
Predicate associatedWith P37 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: [Amazons, associatedWith, Artemis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Artemis
Context triple: [Amazons, associatedWith, 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. Artémis
    Artémis is the French holding company of the Pinault family, overseeing a diverse portfolio of luxury, wine, art, and investment assets.
  • C. Athena
    Athena is the ancient Greek goddess of wisdom, warfare, and crafts, and the patron deity of the city of Athens.
  • D. 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.
  • E. Athena
    "Athena" is a 1954 MGM musical romantic comedy film starring Jane Powell and Debbie Reynolds, centered on a health-obsessed family and their influence on a conventional lawyer.
  • 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_69ca82db5b90819085d1ad7c2e27bfcc completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7802417c81908837c31136c41a5c completed March 31, 2026, 7:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd34de56688190a7c33bbcb12cd7c1 completed April 1, 2026, 3:08 p.m.
Created at: March 30, 2026, 5:46 p.m.