Triple
T9768454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gheorghe |
E237057
|
entity |
| Predicate | hasRelatedName |
P3889
|
FINISHED |
| Object | Georgi |
E400091
|
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: Georgi | Statement: [Gheorghe, hasRelatedName, Georgi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Georgi Context triple: [Gheorghe, hasRelatedName, Georgi]
-
A.
Georgi
chosen
Georgi is a common Bulgarian male given name, widely used across Slavic countries and derived from the Greek name Georgios.
-
B.
Georgy Georgiu
Georgy Georgiu is an actor known for his role in the Soviet adventure-comedy film "Gentlemen of Fortune."
-
C.
Dimitar
Dimitar is a masculine given name of Slavic origin, commonly used in Bulgaria and other Eastern European countries.
-
D.
Theodore Svetoslav
Theodore Svetoslav was a medieval Bulgarian tsar who restored and strengthened the Second Bulgarian Empire in the early 14th century through military successes and internal consolidation.
-
E.
Najden Gerov
Najden Gerov was a prominent 19th-century Bulgarian educator, linguist, and public figure known for his major contributions to Bulgarian language studies and national cultural awakening.
- 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_69ca84d831b8819090322686b47887ce |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda0a2da648190836916a45d2998d7 |
completed | April 1, 2026, 10:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1bd05f2588190ab413d26342aa70f |
completed | April 5, 2026, 1:38 a.m. |
Created at: March 30, 2026, 8:25 p.m.