Triple
T6228411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Batista |
E139291
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Baptista |
E500705
|
NE FINISHED |
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: Baptista | Statement: [Batista, hasVariant, Baptista]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baptista Context triple: [Batista, hasVariant, Baptista]
-
A.
Baptista
chosen
Baptista is the wealthy Paduan father of Katherina and Bianca in Shakespeare’s comedy "The Taming of the Shrew," whose decisions about their marriages drive much of the play’s plot.
-
B.
Hortensio
Hortensio is a comic suitor and friend of Petruchio in Shakespeare’s play "The Taming of the Shrew," known for his failed courtship of Bianca and his role in the play’s humorous subplots.
-
C.
Lucentio
Lucentio is a young, romantic nobleman in Shakespeare’s comedy "The Taming of the Shrew," who disguises himself as a tutor to win the love of Bianca.
-
D.
Petruchio
Petruchio is the bold, domineering suitor who attempts to "tame" the strong-willed Katherina in Shakespeare’s comedy The Taming of the Shrew.
-
E.
Brabantio
Brabantio is a Venetian senator and the protective father of Desdemona in William Shakespeare's tragedy "Othello."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c008afd3148190b71e9eaa60420dd1 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062d841a88190b67a8045cdaadf44 |
completed | March 22, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c20de16d988190acdec1deba75e06e |
completed | March 24, 2026, 4:06 a.m. |
Created at: March 22, 2026, 4:22 p.m.