Triple
T17082363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marcellino |
E414504
|
entity |
| Predicate | hasAffectionateFormFunction |
P56896
|
FINISHED |
| Object | diminutive |
—
|
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: diminutive | Statement: [Marcellino, hasAffectionateFormFunction, diminutive]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAffectionateFormFunction Context triple: [Marcellino, hasAffectionateFormFunction, diminutive]
-
A.
hasAffectionateUse
Indicates that one entity uses or refers to another in a loving, tender, or emotionally warm manner.
-
B.
hasApologeticFunction
Indicates that something serves the role of expressing regret, remorse, or an apology in a given context.
-
C.
hasAffectionateNicknameFor
chosen
Indicates that one entity uses or assigns a fond, affectionate, or endearing nickname to another entity.
-
D.
hasFullForm
Indicates that one entity is the complete, expanded, or unabbreviated form of another entity.
-
E.
hasPositiveForm
Indicates that one form, variant, or expression is the positive (non-comparative, non-superlative, or affirmative) version of another.
- 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_69d886cef44c8190ba56c44b4e863e64 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbe408d48190b4f52c2102eae7c2 |
completed | April 18, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69e35d67b14481909fcdbdeaa5c34785 |
completed | April 18, 2026, 10:31 a.m. |
Created at: April 10, 2026, 5:35 a.m.