Triple
T17586152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Senso |
E428326
|
entity |
| Predicate | basedOn |
P98
|
FINISHED |
| Object | Senso (novella) |
—
|
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: Senso (novella) | Statement: [Senso, basedOn, Senso (novella)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Senso (novella) Context triple: [Senso, basedOn, Senso (novella)]
-
A.
Senso
chosen
Senso is a 1954 Italian historical melodrama film directed by Luchino Visconti, set during the Risorgimento and renowned for its lush visuals and tragic love story.
-
B.
Sansei and Sensibility
Sansei and Sensibility is a short story collection by Karen Tei Yamashita that blends Japanese American experiences with playful reimaginings of Jane Austen’s themes and characters.
-
C.
Sutami
Sutami was an Indonesian engineer and politician who served as Minister of Public Works and played a key role in the country’s infrastructure development.
-
D.
Tosa Nikki
Tosa Nikki is a 10th-century Japanese literary diary written in kana and traditionally attributed to Ki no Tsurayuki, often regarded as one of the earliest and most important examples of Japanese prose.
-
E.
Shisō
Shisō is a city in Hyōgo Prefecture, Japan, known for its rural landscapes, forests, and historical sites.
- 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_69d889e1030481909950e140c63255b9 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e463d22f908190ae0f1eeafbe54459 |
completed | April 19, 2026, 5:10 a.m. |
Created at: April 10, 2026, 5:50 a.m.