Triple
T7075047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mario Grigorov |
E164795
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Mario Grigorov |
E164795
|
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: Mario Grigorov | Statement: [Mario Grigorov, name, Mario Grigorov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mario Grigorov Context triple: [Mario Grigorov, name, Mario Grigorov]
-
A.
Mario Grigorov
chosen
Mario Grigorov is a Bulgarian-born composer and pianist best known for his film scores and collaborations with director Lee Daniels.
-
B.
Todor Popov
Todor Popov is a Bulgarian politician who serves as the long-time mayor of the city of Pazardzhik.
-
C.
Tymofiy Mylovanov
Tymofiy Mylovanov is a Ukrainian economist and academic who has served in high-level government roles, including as a minister responsible for economic policy.
-
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_69c6887cbc6c8190bdfac42d940f4d8a |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e4ce3d3c81908cbb912b256aadbf |
completed | March 27, 2026, 8:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c794641dd481908df979600b7a8e92 |
completed | March 28, 2026, 8:42 a.m. |
Created at: March 27, 2026, 2:40 p.m.