Triple

T2766324
Position Surface form Disambiguated ID Type / Status
Subject Madison E61346 entity
Predicate hasVariant P455 FINISHED
Object Madisyn
Madisyn is a modern English given name, typically a feminine variant spelling of Madison.
 E298067 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: Madisyn | Statement: [Madison, hasVariant, Madisyn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Madisyn
Context triple: [Madison, hasVariant, Madisyn]
  • A. 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.
  • B. Corinna
    Corinna was an ancient Greek lyric poet from Boeotia, renowned for her choral poetry composed in the Aeolic dialect.
  • C. Tamsin
    Tamsin is a feminine given name of English origin, often associated with actresses and public figures such as Tamsin Egerton.
  • D. Maia
    Maia is a figure from Greek mythology, one of the Pleiades and the mother of the god Hermes.
  • E. Maia
    Maia are powerful immortal spirits in J.R.R. Tolkien’s legendarium who serve the Valar and often act as guides or guardians to the peoples of Middle-earth.
  • 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: Madisyn
Triple: [Madison, hasVariant, Madisyn]
Generated description
Madisyn is a modern English given name, typically a feminine variant spelling of Madison.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Madisyn
Target entity description: Madisyn is a modern English given name, typically a feminine variant spelling of Madison.
  • A. 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.
  • B. Corinna
    Corinna was an ancient Greek lyric poet from Boeotia, renowned for her choral poetry composed in the Aeolic dialect.
  • C. Tamsin
    Tamsin is a feminine given name of English origin, often associated with actresses and public figures such as Tamsin Egerton.
  • D. Maia
    Maia is a figure from Greek mythology, one of the Pleiades and the mother of the god Hermes.
  • E. Maia
    Maia are powerful immortal spirits in J.R.R. Tolkien’s legendarium who serve the Valar and often act as guides or guardians to the peoples of Middle-earth.
  • 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_69ab4b7bab6c8190a5c2efef19a8ef34 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdd5762d08190a6286994a4e5dd92 completed March 7, 2026, 8:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc048bc8481908a6f70e034167c2a completed March 10, 2026, 6:55 a.m.
NEDg Description generation batch_69afc14239e48190ad20f660e88befcb completed March 10, 2026, 6:59 a.m.
NED2 Entity disambiguation (via description) batch_69afc202466c81908c300520173837dc completed March 10, 2026, 7:02 a.m.
Created at: March 6, 2026, 9:57 p.m.