Triple

T8791102
Position Surface form Disambiguated ID Type / Status
Subject Iphigenia E209166 entity
Predicate associatedDeity 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: [Iphigenia, associatedDeity, Artemis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Artemis
Context triple: [Iphigenia, associatedDeity, 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 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.
  • 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_69ca836168108190bb43d3dc235c1f55 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f8e6e4881909155c40c52bc082c completed March 31, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf5220af84819095ddefd84fd9f369 completed April 3, 2026, 5:37 a.m.
Created at: March 30, 2026, 6:43 p.m.