Triple

T20832765
Position Surface form Disambiguated ID Type / Status
Subject Hippolyte et Aricie E512872 entity
Predicate subject P450 FINISHED
Object Aricia 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: Aricia | Statement: [Hippolyte et Aricie, subject, Aricia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aricia
Context triple: [Hippolyte et Aricie, subject, Aricia]
  • A. Aricia chosen
    Aricia was an ancient town in the Alban Hills of Latium, historically significant as a cult center of Diana and a key stop on the Via Appia near Rome.
  • B. Arona
    Arona is a settlement located within Madona Municipality in Latvia.
  • C. Arona
    Arona is a town in northern Italy on the shores of Lake Maggiore, known for its historic architecture and as the birthplace of Saint Charles Borromeo.
  • D. Arona
    Arona is a coastal tourist municipality in southern Tenerife, Spain, known for its popular beach resorts such as Los Cristianos and Playa de las Américas.
  • E. Angarano
    Angarano is an Italian-origin surname most notably associated with American actor Michael Angarano.
  • 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_69e0b4cf62a88190bbf92351e9e57259 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c3235a7c8190a00dbd7008cf107a completed April 21, 2026, 12:21 a.m.
Created at: April 16, 2026, 12:42 p.m.