Triple
T26633251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vannino |
E668560
|
entity |
| Predicate | hasMeaningAsName |
P24069
|
FINISHED |
| Object | little Giovanni |
—
|
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: little Giovanni | Statement: [Vannino, hasMeaningAsName, little Giovanni]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMeaningAsName Context triple: [Vannino, hasMeaningAsName, little Giovanni]
-
A.
hasBaseNameMeaning
Indicates that an entity’s base name carries or is associated with a particular meaning.
-
B.
isMeaningOfName
Indicates that one entity expresses or defines the meaning or interpretation of a given name.
-
C.
hasGivenNameMeaning
chosen
Indicates that a given name carries a particular meaning or semantic interpretation.
-
D.
hasMeaningInOriginLanguage
Indicates that something (such as a word, phrase, or symbol) possesses a specific meaning in its original or source language.
-
E.
hasMeaningViaJohn
Indicates that something possesses or conveys its meaning specifically through John as the interpretive or mediating agent.
- 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_69f71422adac8190a5ceb32dcf820833 |
completed | May 3, 2026, 9:23 a.m. |
| PD | Predicate disambiguation | batch_69f712764d2c819081b64b27e5de4a13 |
completed | May 3, 2026, 9:16 a.m. |
Created at: April 27, 2026, 2:26 a.m.