Triple
T33029806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guglielmuccio |
E845133
|
entity |
| Predicate | hasDiminutiveFormType |
P456
|
FINISHED |
| Object | affectionate 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: affectionate diminutive | Statement: [Guglielmuccio, hasDiminutiveFormType, affectionate diminutive]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDiminutiveFormType Context triple: [Guglielmuccio, hasDiminutiveFormType, affectionate diminutive]
-
A.
hasDiminutive
chosen
Indicates that one entity is a diminutive form or smaller/affectionate variant of another entity.
-
B.
hasAdjectiveForm
Indicates that one term is the adjective form derived from another related term (such as a noun or verb).
-
C.
isReducedFormOf
Indicates that one entity is a simplified or more compact version derived from another entity while preserving its essential meaning or structure.
-
D.
hasGentilicForm
Indicates that one term is the gentilic (demonym or adjectival form denoting origin or affiliation) derived from or associated with another term.
-
E.
hasMiniature
Indicates that one entity possesses or includes a smaller-scale representation or model of another entity.
- 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_69f34950749c8190ae05cd27adb16d58 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fec5c503808190bde0b1829ea43071 |
completed | May 9, 2026, 5:27 a.m. |
| PD | Predicate disambiguation | batch_69fec535dd6c8190a6ab85201f5a04a9 |
completed | May 9, 2026, 5:25 a.m. |
Created at: May 1, 2026, 1:24 a.m.