Triple
T12842599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gabriella |
E307088
|
entity |
| Predicate | hasDiminutive |
P456
|
FINISHED |
| Object | Gabi |
E59452
|
NE 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: Gabi | Statement: [Gabriella, hasDiminutive, Gabi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gabi Context triple: [Gabriella, hasDiminutive, Gabi]
-
A.
Gabi
chosen
Gabi is a common diminutive form of the given name Gabriel (and sometimes Gabriela), used in various languages as a familiar or affectionate nickname.
-
B.
Gabby
Gabby is a member of DC Comics' Newsboy Legion, a group of streetwise youths who often assist superheroes like the Guardian in their adventures.
-
C.
Gabriella
Gabriella is a feminine given name of Italian origin, commonly used in many languages and often associated with the meaning "God is my strength."
-
D.
GABI
GABI is a major paleontological event during which land and freshwater animals migrated between North and South America after the formation of the Isthmus of Panama, dramatically reshaping the continents’ ecosystems.
-
E.
Marlen
Marlen is a village district of the town of Kehl in the German state of Baden-Württemberg.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d7bdf52b94819096d6f0ba4ab50a98 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96ff2ab60819085561a3120189985 |
completed | April 10, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69b9dc1e48190993430956e0fcfdc |
completed | May 3, 2026, 12:49 a.m. |
Created at: April 9, 2026, 5:35 p.m.