Triple
T26633228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giovannino |
E668559
|
entity |
| Predicate | isDiminutiveOfSaintName |
P456
|
FINISHED |
| Object | Saint John |
—
|
NE NERFINISHED |
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: Saint John | Statement: [Giovannino, isDiminutiveOfSaintName, Saint John]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isDiminutiveOfSaintName Context triple: [Giovannino, isDiminutiveOfSaintName, Saint John]
-
A.
hasDiminutive
chosen
Indicates that one entity is a diminutive form or smaller/affectionate variant of another entity.
-
B.
saintName
Indicates that an entity has the specified name under which they are recognized or venerated as a saint.
-
C.
hasAffectionateNicknameFor
Indicates that one entity uses or assigns a fond, affectionate, or endearing nickname to another entity.
-
D.
isPraenomenOf
Indicates that a given personal name functions as the praenomen (given name) of a specific individual.
-
E.
isOfficialNicknameOf
Indicates that one name is the formally recognized nickname or informal moniker used to refer to 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_69ee9d0024b8819090a7c8cf669a3b6c |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f615ef22948190a908a048dc739479 |
completed | May 2, 2026, 3:19 p.m. |
| PD | Predicate disambiguation | batch_69f60b8bb0d08190ab5a9a2a8847c6f4 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 27, 2026, 2:26 a.m.