Triple
T7396773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paolone |
E170640
|
entity |
| Predicate | semanticNuance |
P41832
|
FINISHED |
| Object | conveys affection or familiarity |
—
|
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: conveys affection or familiarity | Statement: [Paolone, semanticNuance, conveys affection or familiarity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: semanticNuance Context triple: [Paolone, semanticNuance, conveys affection or familiarity]
-
A.
sentience
Indicates that an entity possesses the capacity for subjective experience, awareness, or feeling.
-
B.
semanticRootMeaning
Indicates the fundamental or core meaning that underlies a word, phrase, or expression in a semantic structure.
-
C.
aspect
Indicates a specific temporal phase or manner in which an action, event, or state unfolds or is viewed (e.g., ongoing, completed, habitual).
-
D.
socialConnotation
chosen
Indicates the commonly understood social meaning, implication, or value judgment that people associate with something within a given cultural or social context.
-
E.
arity
Indicates the number of arguments or participants that a relation or function takes.
- 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_69c68a5f04188190ac266569c9280347 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f248f79c819094b1d1e2c3d511d1 |
completed | March 27, 2026, 9:10 p.m. |
| PD | Predicate disambiguation | batch_69c6f0309cc88190b55d278969400294 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:09 p.m.