Triple
T22073146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michel-Charles Le Cène |
E545458
|
entity |
| Predicate | languageOfPublishedEditions |
P77946
|
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: [Michel-Charles Le Cène, languageOfPublishedEditions, Italian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfPublishedEditions Context triple: [Michel-Charles Le Cène, languageOfPublishedEditions, Italian]
-
A.
languageOfAvailableEditions
chosen
Indicates the language in which the available editions of a work or resource are published.
-
B.
languageOfOfficialEditions
Indicates the language in which the official editions or versions of a work, document, or publication are produced or authorized.
-
C.
publisherLanguageEdition
Indicates the specific language edition in which a publisher issues or has issued a work.
-
D.
languageOfBooks
Indicates the language in which the referenced books are written or published.
-
E.
languageOfReleases
Indicates the language in which the releases associated with an entity are produced or published.
- 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_69e11e344dfc81909b1d88a7221329c7 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12889f504819089830202e64d97b0 |
completed | April 28, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69e6f64a6a70819089d1a6c3a2384861 |
completed | April 21, 2026, 4 a.m. |
Created at: April 16, 2026, 8:28 p.m.