Triple

T12277936
Position Surface form Disambiguated ID Type / Status
Subject Orville E292638 entity
Predicate helpsCharacter P7748 FINISHED
Object Bianca
Bianca is a character, likely from a narrative or fictional work, who receives assistance from Orville.
 E300491 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: Bianca | Statement: [Orville, helpsCharacter, Bianca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bianca
Context triple: [Orville, helpsCharacter, Bianca]
  • A. Bianca
    Bianca is a key supporting character in the "Creed" film series, a musician and love interest of Adonis Creed who plays a central role in his personal life and emotional journey.
  • B. Bianca
    Bianca is a courtesan in Shakespeare’s tragedy "Othello," romantically involved with Cassio and used as a pawn in Iago’s schemes.
  • C. Bianca
    Bianca is a sophisticated and brave Hungarian mouse who serves as one of the heroic Rescue Aid Society agents in Disney’s animated films "The Rescuers" and its sequel.
  • D. Bianca
    Bianca is a central character in William Shakespeare's comedy "The Taming of the Shrew," portrayed as the younger, seemingly more desirable and mild-mannered sister whose suitors drive much of the play's romantic intrigue.
  • E. Bianca
    Bianca is a feminine given name of Italian origin, historically borne by several notable European noblewomen.
  • 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: Bianca
Triple: [Orville, helpsCharacter, Bianca]
Generated description
Bianca is a character, likely from a narrative or fictional work, who receives assistance from Orville.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bianca
Target entity description: Bianca is a character, likely from a narrative or fictional work, who receives assistance from Orville.
  • A. Bianca
    Bianca is a key supporting character in the "Creed" film series, a musician and love interest of Adonis Creed who plays a central role in his personal life and emotional journey.
  • B. Bianca
    Bianca is a courtesan in Shakespeare’s tragedy "Othello," romantically involved with Cassio and used as a pawn in Iago’s schemes.
  • C. Bianca chosen
    Bianca is a sophisticated and brave Hungarian mouse who serves as one of the heroic Rescue Aid Society agents in Disney’s animated films "The Rescuers" and its sequel.
  • D. Bianca
    Bianca is a central character in William Shakespeare's comedy "The Taming of the Shrew," portrayed as the younger, seemingly more desirable and mild-mannered sister whose suitors drive much of the play's romantic intrigue.
  • E. Bianca
    Bianca is a feminine given name of Italian origin, historically borne by several notable European noblewomen.
  • F. None of above.

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_69d6ab6856488190b5d31178d5015f8e completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cf06cf08190ac8671dd9bbed03d completed April 10, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e6d72d081908c8697257df712f1 completed May 2, 2026, 3:55 p.m.
NEDg Description generation batch_69f620759f348190baa9af5b33d4e37f completed May 2, 2026, 4:04 p.m.
NED2 Entity disambiguation (via description) batch_69f624bf23948190b182e4c31564d210 completed May 2, 2026, 4:22 p.m.
Created at: April 8, 2026, 9:52 p.m.