Triple
T10562590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | We'll Live It All Again |
E249259
|
entity |
| Predicate | hasItalianVersionTitle |
P48373
|
FINISHED |
| Object | Noi lo rivivremo di nuovo |
—
|
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: Noi lo rivivremo di nuovo | Statement: [We'll Live It All Again, hasItalianVersionTitle, Noi lo rivivremo di nuovo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasItalianVersionTitle Context triple: [We'll Live It All Again, hasItalianVersionTitle, Noi lo rivivremo di nuovo]
-
A.
titleInItalian
Indicates that one entity is the title of another entity expressed in the Italian language.
-
B.
equivalentTitleInItalian
chosen
Indicates that one entity’s title is an equivalent version of another entity’s title expressed in Italian.
-
C.
hasLatinTitleOf
Indicates that one entity has, uses, or is associated with the Latin-language title corresponding to another entity.
-
D.
hasLatinTitle
Indicates that an entity possesses a title or name expressed in Latin.
-
E.
titleInLanguage
Indicates that a specific title or name is expressed in a particular 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_69d381c8bd708190acf3d275c908251e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d527212dd081908629d91ce08f96a0 |
completed | April 7, 2026, 3:47 p.m. |
| PD | Predicate disambiguation | batch_69d51901ff6c819095e7b528170a69dc |
completed | April 7, 2026, 2:47 p.m. |
Created at: April 6, 2026, 12:36 p.m.