Triple
T36922232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prix Roberto Rossellini |
E913233
|
entity |
| Predicate | honorsStyle |
P187223
|
FINISHED |
| Object | Italian neorealism |
—
|
LITERAL 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: Italian neorealism | Statement: [Prix Roberto Rossellini, honorsStyle, Italian neorealism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: honorsStyle Context triple: [Prix Roberto Rossellini, honorsStyle, Italian neorealism]
-
A.
honorStyle
Indicates the manner or level of respect, formality, or honor expressed toward or between entities.
-
B.
honourStyle
Indicates a relationship where one entity follows, respects, or upholds the manner, customs, or stylistic approach associated with another.
-
C.
honors
Indicates that one entity shows respect, recognition, or esteem toward another entity, often in a formal or ceremonial way.
-
D.
honorsCategory
Indicates that one entity is recognized or classified as belonging to a particular honors-related category defined by the other entity.
-
E.
honorsSchool
Indicates that a school has received recognition, distinction, or special status for high achievement or excellence.
- F. None of above. chosen
Provenance (4 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_69f76e885b848190bad82c87e9525486 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb34e5576881909394355c8ec6ddd2 |
completed | May 6, 2026, 12:32 p.m. |
| PD | Predicate disambiguation | batch_69fb2f6171e88190bf1e0ee6a644b6a9 |
completed | May 6, 2026, 12:09 p.m. |
| PDg | Predicate description generation | batch_69fb34e4906c8190abb1c293fb84329a |
completed | May 6, 2026, 12:32 p.m. |
Created at: May 3, 2026, 4:13 p.m.