Triple
T20243933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nerissa |
E498371
|
entity |
| Predicate | hasRomanticPartner |
P9994
|
FINISHED |
| Object | Gratiano |
—
|
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: Gratiano | Statement: [Nerissa, hasRomanticPartner, Gratiano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gratiano Context triple: [Nerissa, hasRomanticPartner, Gratiano]
-
A.
Gratiano
chosen
Gratiano is a lively, talkative friend of Bassanio in Shakespeare’s play "The Merchant of Venice," known for his wit, humor, and sometimes insensitive remarks.
-
B.
Bastiano
Bastiano is an Italian given name, commonly used as a variant of Sebastiano.
-
C.
Basilio
Basilio is the King of Poland in Calderón de la Barca’s play "La vida es sueño," whose fatalistic decisions about his son’s destiny drive the central conflict of the drama.
-
D.
Basilio
Basilio is the surname of Enriqueta Basilio, the Mexican track and field athlete famed for being the first woman to light the Olympic cauldron at the 1968 Summer Olympics.
-
E.
Basilio
Basilio is the witty, lovestruck barber and male lead in the ballet Don Quixote, renowned for his virtuosic, bravura dancing and comic charm.
- 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_69da6274c58c81909c646eabed6f4f30 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e67170aa248190922fc845d2265ae3 |
completed | April 20, 2026, 6:33 p.m. |
Created at: April 11, 2026, 11:40 p.m.