Triple
T3917780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georgi Dimitrov |
E88885
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Georgi
Georgi is a common Bulgarian male given name, widely used across Slavic countries and derived from the Greek name Georgios.
|
E400091
|
NE FINISHED |
How this triple was built (4 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: [Georgi Dimitrov, givenName, Georgi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Georgi Context triple: [Georgi Dimitrov, givenName, Georgi]
-
A.
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.
-
B.
Mario Grigorov
Mario Grigorov is a Bulgarian-born composer and pianist best known for his film scores and collaborations with director Lee Daniels.
-
C.
Georgy
Georgy is a masculine given name of Russian origin, notably borne by Soviet military commander Georgy Zhukov.
-
D.
Alexander Toshev
Alexander Toshev is a computer scientist known for his contributions to computer vision and deep learning, including influential work on object detection.
-
E.
Boris Slavov
Boris Slavov is a video game music composer best known for his cinematic scores on major titles such as the Crysis series and Divinity: Original Sin 2.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Georgi Triple: [Georgi Dimitrov, givenName, Georgi]
Generated description
Georgi is a common Bulgarian male given name, widely used across Slavic countries and derived from the Greek name Georgios.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Georgi Target entity description: Georgi is a common Bulgarian male given name, widely used across Slavic countries and derived from the Greek name Georgios.
-
A.
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.
-
B.
Mario Grigorov
Mario Grigorov is a Bulgarian-born composer and pianist best known for his film scores and collaborations with director Lee Daniels.
-
C.
Georgy
Georgy is a masculine given name of Russian origin, notably borne by Soviet military commander Georgy Zhukov.
-
D.
Alexander Toshev
Alexander Toshev is a computer scientist known for his contributions to computer vision and deep learning, including influential work on object detection.
-
E.
Boris Slavov
Boris Slavov is a video game music composer best known for his cinematic scores on major titles such as the Crysis series and Divinity: Original Sin 2.
- F. None of above. chosen
Provenance (5 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_69aed955229881909e85e73ffab1d343 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeed5797508190adaddb84575d9bb3 |
completed | March 9, 2026, 3:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b52864e0488190ab348a52cb9168b9 |
completed | March 14, 2026, 9:20 a.m. |
| NEDg | Description generation | batch_69b52c3423988190aae6514041dc8ab3 |
completed | March 14, 2026, 9:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b52ca9443481909e43a8bbe208c807 |
completed | March 14, 2026, 9:38 a.m. |
Created at: March 9, 2026, 3:22 p.m.