Triple
T34792753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Non più mesta |
E1002989
|
entity |
| Predicate | languageMeaningOfTitle |
P123495
|
FINISHED |
| Object | No longer sad |
—
|
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: No longer sad | Statement: [Non più mesta, languageMeaningOfTitle, No longer sad]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageMeaningOfTitle Context triple: [Non più mesta, languageMeaningOfTitle, No longer sad]
-
A.
titleMeaning
Indicates that one entity expresses or explains the meaning, significance, or interpretation of another entity’s title.
-
B.
titleWordMeaning
Indicates that a word functions as a title and specifies the meaning or interpretation of that title.
-
C.
titleLanguageMeaning
chosen
Indicates that a title is expressed in a particular language and conveys a specific meaning in that language.
-
D.
stringMeaning
Indicates that one entity represents the semantic content or interpretation of a given string associated with another entity.
-
E.
letterMeaning
Indicates that a particular letter conveys a specific meaning, interpretation, or semantic content.
- 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_69f76db47d408190a24fc7164439ea2d |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_6a008d6085508190a71c52cd028a6297 |
completed | May 10, 2026, 1:51 p.m. |
| PD | Predicate disambiguation | batch_6a008ced31448190b8fc60bf87b40647 |
completed | May 10, 2026, 1:49 p.m. |
Created at: May 3, 2026, 3:59 p.m.