Triple

T21151625
Position Surface form Disambiguated ID Type / Status
Subject Aricie E521205 entity
Predicate nameInFrench P6538 FINISHED
Object Aricie 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: Aricie | Statement: [Aricie, nameInFrench, Aricie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aricie
Context triple: [Aricie, nameInFrench, Aricie]
  • A. Aricie chosen
    Aricie is a central heroine in Jean-Philippe Rameau’s opera "Hippolyte et Aricie," portrayed as a noble and virtuous young woman whose forbidden love drives much of the drama.
  • B. Ariela
    Ariela is a feminine given name, often considered a variant of Ariel, used in various cultures and languages.
  • C. Argie
    Argie is a fictional character known as "Argie the Argonaut," typically depicted as an adventurous figure associated with exploration or nautical quests.
  • D. Arielli
    Arielli is a small Italian town and comune in the Abruzzo region, known for its rural landscape and wine production.
  • E. Ariany
    Ariany is a small rural town on the Spanish island of Mallorca, known for its traditional Mallorcan character and agricultural surroundings.
  • 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_69e0b50c6a848190a4e525a77a319b8a completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e72401830c8190a2008c40c4174d97 completed April 21, 2026, 7:15 a.m.
Created at: April 16, 2026, 2:58 p.m.