Triple
T10259010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Much Ado About Nothing |
E240545
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Don John |
E259334
|
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: Don John | Statement: [Much Ado About Nothing, featuresCharacter, Don John]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Don John Context triple: [Much Ado About Nothing, featuresCharacter, Don John]
-
A.
Don John
chosen
Don John is the sullen, scheming villain of Shakespeare’s *Much Ado About Nothing*, whose plots drive much of the play’s conflict.
-
B.
Bosola
Bosola is a complex, morally conflicted malcontent and spy who serves as both villain and tragic observer in John Webster’s Jacobean tragedy "The Duchess of Malfi."
-
C.
Don Pedro
Don Pedro is a noble prince of Aragon who serves as a charismatic and benevolent leader and matchmaker in Shakespeare’s comedy "Much Ado About Nothing."
-
D.
Don Pedro
Don Pedro is the given name of Don Pedro Colley, an American actor known for his roles in film and television during the 1960s and 1970s.
-
E.
Cloten
Cloten is a boorish and arrogant suitor in Shakespeare’s play "Cymbeline," known for his comic villainy and lack of wit.
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d24e94e08190ad2b9733bf621fe4 |
completed | April 7, 2026, 9:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f7e9a9d48190865f047750d7bc6c |
completed | April 9, 2026, 12:50 a.m. |
Created at: April 6, 2026, 11:31 a.m.