Triple

T19727963
Position Surface form Disambiguated ID Type / Status
Subject Antonio and Mellida E473775 entity
Predicate mainCharacter P1183 FINISHED
Object Rossaline
Rossaline is a central female character in John Marston’s early modern play "Antonio and Mellida," involved in the courtly intrigues and romantic entanglements that drive the drama.
E1392916 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: Rossaline | Statement: [Antonio and Mellida, mainCharacter, Rossaline]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rossaline
Context triple: [Antonio and Mellida, mainCharacter, Rossaline]
  • A. Roseline
    Roseline is a given name that serves as a variant form of the name Rosslyn.
  • B. Amorina
    Amorina is a 19th-century Swedish novel by Carl Jonas Love Almqvist, known for its romantic and psychological depth within early modern Swedish literature.
  • C. Rosabella
    Rosabella is the shy, kind-hearted waitress who becomes the central romantic heroine in Frank Loesser’s Broadway musical "The Most Happy Fella."
  • D. Odalie
    Odalie is the central protagonist of the work "Odalie Misses Mass," around whom the story’s events and themes revolve.
  • E. Nerissa
    Nerissa is a witty and loyal lady-in-waiting to Portia in Shakespeare’s play "The Merchant of Venice," known for her intelligence, humor, and role in the play’s romantic subplots.
  • 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: Rossaline
Triple: [Antonio and Mellida, mainCharacter, Rossaline]
Generated description
Rossaline is a central female character in John Marston’s early modern play "Antonio and Mellida," involved in the courtly intrigues and romantic entanglements that drive the drama.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rossaline
Target entity description: Rossaline is a central female character in John Marston’s early modern play "Antonio and Mellida," involved in the courtly intrigues and romantic entanglements that drive the drama.
  • A. Roseline
    Roseline is a given name that serves as a variant form of the name Rosslyn.
  • B. Amorina
    Amorina is a 19th-century Swedish novel by Carl Jonas Love Almqvist, known for its romantic and psychological depth within early modern Swedish literature.
  • C. Rosabella
    Rosabella is the shy, kind-hearted waitress who becomes the central romantic heroine in Frank Loesser’s Broadway musical "The Most Happy Fella."
  • D. Odalie
    Odalie is the central protagonist of the work "Odalie Misses Mass," around whom the story’s events and themes revolve.
  • E. Nerissa
    Nerissa is a witty and loyal lady-in-waiting to Portia in Shakespeare’s play "The Merchant of Venice," known for her intelligence, humor, and role in the play’s romantic subplots.
  • 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_69d8e517ebd48190979ee76723bcfadf completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e649fa1bc481908a9e7cf4fc52f75c completed April 20, 2026, 3:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07b4f0728881909ccadf9e738e371c completed May 16, 2026, 12:06 a.m.
NEDg Description generation batch_6a07b5e9961881908f224154ec12c366 completed May 16, 2026, 12:10 a.m.
NED2 Entity disambiguation (via description) batch_6a07b67964b481909af269c6b5db6527 completed May 16, 2026, 12:12 a.m.
Created at: April 10, 2026, 1:47 p.m.