Triple
T9045629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George |
E216747
|
entity |
| Predicate | etymologicallyDerivedFrom |
P453
|
FINISHED |
| Object | Georgius |
E56084
|
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: Georgius | Statement: [George, etymologicallyDerivedFrom, Georgius]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Georgius Context triple: [George, etymologicallyDerivedFrom, Georgius]
-
A.
Gregory
Gregory is a masculine given name of Greek origin, historically associated with figures such as the American actor Gregory Peck.
-
B.
Gregory
Gregory is an electoral district in Queensland, Australia, known for its vast rural area and strong agricultural and mining industries.
-
C.
Georg
chosen
Georg is the given first name of the renowned German mathematician Bernhard Riemann.
-
D.
Gibbon
Gibbon is a common English surname most famously borne by Edward Gibbon, the 18th-century historian known for writing "The History of the Decline and Fall of the Roman Empire."
-
E.
Desiderius
Desiderius was the final king of the Lombards, whose defeat by Charlemagne in the 8th century marked the end of the Lombard Kingdom in Italy.
- 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_69ca83d22d488190adbce5e020e9cd1d |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc6b148b188190814d64acae493634 |
completed | April 1, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfebada5948190add8813ba547647f |
completed | April 3, 2026, 4:32 p.m. |
Created at: March 30, 2026, 7:09 p.m.