Triple
T35943269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La notte brava |
E1039509
|
entity |
| Predicate | featuresSocialRealism |
P153785
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [La notte brava, featuresSocialRealism, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresSocialRealism Context triple: [La notte brava, featuresSocialRealism, true]
-
A.
featuresRealLife
Indicates that something includes or portrays real-life people, events, situations, or elements rather than fictional or purely abstract ones.
-
B.
socialEstate
Indicates a relationship where an entity belongs to or is classified within a particular social class, rank, or estate in a societal hierarchy.
-
C.
socialFeature
Indicates that one entity provides or participates in a social interaction capability or function involving other entities.
-
D.
portraysSocialTypes
chosen
Indicates that an entity depicts or represents particular social roles, groups, or character types.
-
E.
socialView
Indicates a relationship where one entity views, accesses, or inspects another entity’s social-related information, profile, or activity.
- F. None of above.
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_69f76e24bbd0819096b837d35371639a |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037ce70f54819082946dad8d380825 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a069e6c8190857b611fffb7b867 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:07 p.m.