Triple
T10974557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don Pedro |
E259333
|
entity |
| Predicate | friend |
P8712
|
FINISHED |
| Object | Benedick |
E259332
|
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: Benedick | Statement: [Don Pedro, friend, Benedick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Benedick Context triple: [Don Pedro, friend, Benedick]
-
A.
Benedick
chosen
Benedick is a witty, sharp-tongued nobleman and confirmed bachelor whose verbal sparring and reluctant romance with Beatrice form a central comic focus in Shakespeare’s Much Ado About Nothing.
-
B.
Leonato
Leonato is the kindly, status-conscious governor of Messina and father of Hero in Shakespeare’s comedy "Much Ado About Nothing."
-
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.
Tranio
Tranio is a clever and resourceful servant in Shakespeare's comedy "The Taming of the Shrew," known for disguising himself as his master to help win a lady's hand.
- 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_69d6aa895f4c8190887a15460ef622f4 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d771f3794c8190b1992b4695139b62 |
completed | April 9, 2026, 9:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e344b433c481909bf22bba1b8dc3bd |
completed | April 18, 2026, 8:45 a.m. |
Created at: April 8, 2026, 9:24 p.m.