Triple

T20415684
Position Surface form Disambiguated ID Type / Status
Subject Baptista E500705 entity
Predicate hasDaughter P24357 FINISHED
Object Bianca NE NERFINISHED

How this triple was built (2 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: [Baptista, hasDaughter, Bianca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bianca
Context triple: [Baptista, hasDaughter, 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 chosen
    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 person who works professionally alongside Izembaro as a colleague.
  • D. Bianca
    Bianca is the life-sized doll who serves as the central, imagined love interest and emotional catalyst in the film "Lars and the Real Girl."
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4a935588190b9446a99b37ced44 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67a437eec8190a20c89a236dd5bc0 completed April 20, 2026, 7:10 p.m.
Created at: April 16, 2026, 11:30 a.m.