Triple
T20415974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Taming of the Shrew (1929 film) |
E500712
|
entity |
| Predicate | hasCharacter |
P2308
|
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: [The Taming of the Shrew (1929 film), hasCharacter, Bianca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bianca Context triple: [The Taming of the Shrew (1929 film), hasCharacter, 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
chosen
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.
-
D.
Bianca
Bianca is a person who works professionally alongside Izembaro as a colleague.
-
E.
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."
- 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_69e67a4437448190b07b6e6e3de5830f |
completed | April 20, 2026, 7:11 p.m. |
Created at: April 16, 2026, 11:30 a.m.