Triple

T18694974
Position Surface form Disambiguated ID Type / Status
Subject Ἀγαμέμνων E457093 entity
Predicate hasMother P1909 FINISHED
Object Aerope NE NERFINISHED

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: Aerope | Statement: [Ἀγαμέμνων, hasMother, Aerope]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aerope
Context triple: [Ἀγαμέμνων, hasMother, Aerope]
  • A. Aerope chosen
    Aerope is a figure in Greek mythology, a Cretan princess best known as the wife of Atreus and mother of the Atreidae, whose tragic family saga underpins much of the Trojan War cycle.
  • B. Eura
    Eura is a municipality in southwestern Finland known for its rich archaeological heritage and prehistoric sites.
  • C. Aprica
    Aprica is a popular ski resort town in the Italian Alps known for its extensive slopes and winter sports facilities.
  • D. Avelia
    Avelia is a family of high-speed trainsets developed by Alstom and used in various advanced rail networks around the world.
  • E. Aesernia
    Aesernia was an important ancient town of the Samnite people in south-central Italy, later becoming a Roman colony.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d391eb488190ac2e9abf5bf255e4 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e562e66a188190801fd95f9be26042 completed April 19, 2026, 11:19 p.m.
Created at: April 10, 2026, 11:49 a.m.