Triple

T9022822
Position Surface form Disambiguated ID Type / Status
Subject Lerna E215768 entity
Predicate hasMythologicalAssociationWith P9595 FINISHED
Object Amymone
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.
 E773173 NE FINISHED

How this triple was built (4 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: [Lerna, hasMythologicalAssociationWith, Amymone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Amymone
Context triple: [Lerna, hasMythologicalAssociationWith, Amymone]
  • A. Madisyn
    Madisyn is a modern English given name, typically a feminine variant spelling of Madison.
  • B. Bauline
    Bauline is a small coastal town in Newfoundland and Labrador, Canada, located on the Avalon Peninsula near St. John’s.
  • C. Otelia
    Otelia is a feminine given name of likely Latin origin, used in various cultures as a personal first name.
  • D. 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.
  • E. Wilella
    Wilella is the full given name of American novelist Willa Cather, renowned for her works depicting frontier life on the Great Plains.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Amymone
Triple: [Lerna, hasMythologicalAssociationWith, Amymone]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Amymone
Target entity description: 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.
  • A. Madisyn
    Madisyn is a modern English given name, typically a feminine variant spelling of Madison.
  • B. Bauline
    Bauline is a small coastal town in Newfoundland and Labrador, Canada, located on the Avalon Peninsula near St. John’s.
  • C. Otelia
    Otelia is a feminine given name of likely Latin origin, used in various cultures as a personal first name.
  • D. 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.
  • E. Wilella
    Wilella is the full given name of American novelist Willa Cather, renowned for her works depicting frontier life on the Great Plains.
  • F. None of above. chosen

Provenance (5 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_69ca83a38aa88190bf1bb80c4548b5e2 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6a454b808190af6bb48f7a4da917 completed April 1, 2026, 12:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfdbbcaedc819084f8b057fbfcb0e7 completed April 3, 2026, 3:24 p.m.
NEDg Description generation batch_69cfdcae0e5c81909c50a0b53c1cf7cc completed April 3, 2026, 3:28 p.m.
NED2 Entity disambiguation (via description) batch_69cfdd6a2ba481908d66fed8f05a1297 completed April 3, 2026, 3:31 p.m.
Created at: March 30, 2026, 7:07 p.m.