Triple
T10911762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emily St. Aubert |
E257717
|
entity |
| Predicate | antagonistRelation |
P18963
|
FINISHED |
| Object | Montoni |
E246627
|
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: Montoni | Statement: [Emily St. Aubert, antagonistRelation, Montoni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Montoni Context triple: [Emily St. Aubert, antagonistRelation, Montoni]
-
A.
Montoni
chosen
Montoni is the ruthless and manipulative Italian nobleman who serves as the primary antagonist in Ann Radcliffe’s Gothic novel "The Mysteries of Udolpho."
-
B.
Monteiasi
Monteiasi is a small town and comune in the Apulia region of southern Italy, known for its traditional rural character and proximity to the city of Taranto.
-
C.
Montet
Montet is a French surname most notably borne by archaeologist Pierre Montet, renowned for his discoveries in the royal necropolis of Tanis in Egypt.
-
D.
Montagnana
Montagnana is a historic walled town in the Veneto region of northern Italy, renowned for its remarkably well-preserved medieval fortifications.
-
E.
Monghidoro
Monghidoro is a small Italian town in the Emilia-Romagna region, known for its Apennine mountain setting and traditional local cuisine.
- 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_69d6aa864ed88190818280ab6791d065 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770723df08190bedfdc94d998f969 |
completed | April 9, 2026, 9:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e155550e388190bd441ac3a9dde435 |
completed | April 16, 2026, 9:32 p.m. |
Created at: April 8, 2026, 9:22 p.m.