Triple

T10165115
Position Surface form Disambiguated ID Type / Status
Subject The Suppliants E235185 entity
Predicate associatedLostPlays P92371 FINISHED
Object Amymone E773173 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: Amymone | Statement: [The Suppliants, associatedLostPlays, Amymone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amymone
Context triple: [The Suppliants, associatedLostPlays, Amymone]
  • A. Amymone chosen
    Amymone is a figure in Greek mythology, one of the Danaids, known for her encounter with the god Poseidon and her association with the springs of Lerna.
  • B. Madisyn
    Madisyn is a modern English given name, typically a feminine variant spelling of Madison.
  • C. Bauline
    Bauline is a small coastal town in Newfoundland and Labrador, Canada, located on the Avalon Peninsula near St. John’s.
  • D. Otelia
    Otelia is a feminine given name of likely Latin origin, used in various cultures as a personal first name.
  • E. Marzelline
    Marzelline is a character in Beethoven's opera "Fidelio," portrayed as the jailer Rocco’s daughter who becomes romantically entangled with the disguised heroine.
  • 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_69ca84ceafd0819085828600e11bed6b completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdec6b96dc8190ae37d0d28e4c393b completed April 2, 2026, 4:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d300d672fc8190ad5b937d02a737fd completed April 6, 2026, 12:39 a.m.
Created at: March 30, 2026, 9:10 p.m.