Triple
T5120936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Doiran |
E115460
|
entity |
| Predicate | commanderBulgarianSide |
P14510
|
FINISHED |
| Object | Georgi Todorov |
E431976
|
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 Todorov | Statement: [Battle of Doiran, commanderBulgarianSide, Georgi Todorov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Georgi Todorov Context triple: [Battle of Doiran, commanderBulgarianSide, Georgi Todorov]
-
A.
Georgi Todorov
chosen
Georgi Todorov was a Bulgarian general who played a prominent command role in the Balkan Wars and World War I.
-
B.
Dimitar Blagoev
Dimitar Blagoev was a Bulgarian political leader and theorist, known as the founder of the Bulgarian socialist movement and the Bulgarian Social Democratic Party.
-
C.
Vladimir Tenev
Vladimir Tenev is a Bulgarian-American entrepreneur best known as the co-founder and CEO of the commission-free trading platform Robinhood Markets.
-
D.
Vulko Chervenkov
Vulko Chervenkov was a Bulgarian communist politician who served as the country’s de facto leader in the early 1950s, overseeing a period of strict Stalinist rule and rapid industrialization.
-
E.
Alexander Toshev
Alexander Toshev is a computer scientist known for his contributions to computer vision and deep learning, including influential work on object detection.
- 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_69bd4442ade0819087b9461f892b206b |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd846dfb908190827fbee5a5ae55e2 |
completed | March 20, 2026, 5:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bec4b0578c819081ad7554bafafe49 |
completed | March 21, 2026, 4:17 p.m. |
Created at: March 20, 2026, 1:42 p.m.