Triple
T4312327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madonna of the Meadow |
E94102
|
entity |
| Predicate | languageOfAlternateTitle |
P35269
|
FINISHED |
| Object | Italian |
—
|
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 | Statement: [Madonna of the Meadow, languageOfAlternateTitle, Italian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfAlternateTitle Context triple: [Madonna of the Meadow, languageOfAlternateTitle, Italian]
-
A.
languageOfAlternativeTitle
chosen
Indicates the language in which an alternative or variant title of an entity is expressed.
-
B.
originalTitleLanguage
Indicates the language in which a work’s original title was written or expressed.
-
C.
originalLanguageTitle
Indicates the title of a work as it appears in its original language of creation or publication.
-
D.
languageOfSubtitles
Indicates the language in which the subtitles for a given media item are provided.
-
E.
officialTitleInLanguage
Indicates that an entity’s official title or designation is expressed in a specified language.
- 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_69b3451886588190a3dd1305ea7c58dc |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b350d8bff88190bcf7dd419d5f4312 |
completed | March 12, 2026, 11:48 p.m. |
| PD | Predicate disambiguation | batch_69b34f4a07b08190a06ada0d9cbb14fb |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:11 p.m.