Triple

T492914
Position Surface form Disambiguated ID Type / Status
Subject Creed (film) E10226 entity
Predicate character P662 FINISHED
Object 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.
E77294 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: [Creed (film), character, Bianca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bianca
Context triple: [Creed (film), character, Bianca]
  • A. Luisa
    Luisa is a feminine given name used in various languages, particularly Romance languages, as a form of the name Louise.
  • B. Caterina
    Caterina is an Italian given name, equivalent to Catherine, commonly used for women in Italian-speaking and related cultures.
  • C. Alicia
    Alicia is the given name of the American singer, songwriter, and pianist Alicia Keys, known for her soulful R&B music and powerful vocals.
  • D. Claudia
    Claudia is a feminine given name used in various cultures, derived from the ancient Roman family name Claudius.
  • E. Paula
    Paula is a feminine given name used in many languages, derived from the Latin name Paulus meaning "small" or "humble."
  • 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: [Creed (film), character, Bianca]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bianca
Target entity description: 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.
  • A. Luisa
    Luisa is a feminine given name used in various languages, particularly Romance languages, as a form of the name Louise.
  • B. Caterina
    Caterina is an Italian given name, equivalent to Catherine, commonly used for women in Italian-speaking and related cultures.
  • C. Alicia
    Alicia is the given name of the American singer, songwriter, and pianist Alicia Keys, known for her soulful R&B music and powerful vocals.
  • D. Claudia
    Claudia is a feminine given name used in various cultures, derived from the ancient Roman family name Claudius.
  • E. Paula
    Paula is a feminine given name used in many languages, derived from the Latin name Paulus meaning "small" or "humble."
  • 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_69a2e847df8481909239ec08ccf1e376 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f0faab4881909f65f172198b5bd2 completed Feb. 28, 2026, 1:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69a55a7165988190bc4312ca40770e27 completed March 2, 2026, 9:37 a.m.
NEDg Description generation batch_69a55ad98dc881909f0e78acee4c6ac2 completed March 2, 2026, 9:39 a.m.
NED2 Entity disambiguation (via description) batch_69a55baf54bc81909366f20361a8c387 completed March 2, 2026, 9:43 a.m.
Created at: Feb. 28, 2026, 1:12 p.m.