Triple

T12650474
Position Surface form Disambiguated ID Type / Status
Subject Mount Cithaeron E302143 entity
Predicate associatedWithDeity P1481 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: [Mount Cithaeron, associatedWithDeity, Artemis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Artemis
Context triple: [Mount Cithaeron, associatedWithDeity, 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. Artemis of Bana-Mighdall
    Artemis of Bana-Mighdall is a fierce Amazon warrior from DC Comics, often associated with Wonder Woman as both rival and ally and known for briefly taking on the mantle of Wonder Woman herself.
  • 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 central character in Helen Garner’s novella "The Children’s Bach," around whom much of the story’s emotional and relational tension revolves.
  • 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_69d7bdec9f9c8190b4bac675b7588211 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9615f28cc81908e37249d7ab5ed74 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f668679dfc8190ac05eeb200f23985 completed May 2, 2026, 9:11 p.m.
Created at: April 9, 2026, 5:18 p.m.