Triple
T26633216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giovannino |
E668559
|
entity |
| Predicate | rootName |
P161594
|
FINISHED |
| Object | Giovanni |
—
|
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: Giovanni | Statement: [Giovannino, rootName, Giovanni]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rootName Context triple: [Giovannino, rootName, Giovanni]
-
A.
rootSystem
Indicates that one entity is the primary or foundational source from which another entity originates, grows, or is structurally anchored.
-
B.
rootStructure
Indicates that one entity serves as the primary or foundational structural element upon which another entity is based or organized.
-
C.
rootShape
Indicates that one entity has the primary or overall geometric form or outline specified by the other entity.
-
D.
rootUse
Indicates that one entity serves as the primary or foundational use, function, or purpose of another entity.
-
E.
rootLetters
Indicates that one element specifies the fundamental root letters from which another linguistic form is derived.
- F. None of above. chosen
Provenance (4 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_69f61ad613608190855de13501a86007 |
completed | May 2, 2026, 3:40 p.m. |
| PD | Predicate disambiguation | batch_69f611ab768c8190b1849c15a3e59dda |
completed | May 2, 2026, 3 p.m. |
| PDg | Predicate description generation | batch_69f61a16b7848190bf20d2be7e5a16c1 |
completed | May 2, 2026, 3:36 p.m. |
Created at: April 27, 2026, 2:26 a.m.