Triple
T17159411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georgina Đuka Tesla |
E416436
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Đuka
Đuka is the affectionate nickname of Georgina Đuka Tesla, the mother of inventor Nikola Tesla.
|
E1254793
|
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: Đuka | Statement: [Georgina Đuka Tesla, nickname, Đuka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Đuka Context triple: [Georgina Đuka Tesla, nickname, Đuka]
-
A.
Dukku
Dukku is a local government area in northeastern Nigeria known for its predominantly rural communities and agricultural activities within Gombe State.
-
B.
Odzaci
Odžaci is a town and municipality in the Bačka region of northern Serbia, known for its agricultural production and location near the Danube River.
-
C.
Domaso
Domaso is a picturesque lakeside town on the northern shore of Lake Como in Italy, known for its waterfront promenades, water sports, and scenic mountain backdrop.
-
D.
Dushku
Dushku is the surname of Eliza Dushku, an American actress known for roles in series like "Buffy the Vampire Slayer" and "Dollhouse."
-
E.
Margush
Margush is an ancient historical region corresponding to the area around the oasis city of Merv in present-day Turkmenistan, once a major center on the Silk Road.
- 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: Đuka Triple: [Georgina Đuka Tesla, nickname, Đuka]
Generated description
Đuka is the affectionate nickname of Georgina Đuka Tesla, the mother of inventor Nikola Tesla.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Đuka Target entity description: Đuka is the affectionate nickname of Georgina Đuka Tesla, the mother of inventor Nikola Tesla.
-
A.
Dukku
Dukku is a local government area in northeastern Nigeria known for its predominantly rural communities and agricultural activities within Gombe State.
-
B.
Odzaci
Odžaci is a town and municipality in the Bačka region of northern Serbia, known for its agricultural production and location near the Danube River.
-
C.
Domaso
Domaso is a picturesque lakeside town on the northern shore of Lake Como in Italy, known for its waterfront promenades, water sports, and scenic mountain backdrop.
-
D.
Dushku
Dushku is the surname of Eliza Dushku, an American actress known for roles in series like "Buffy the Vampire Slayer" and "Dollhouse."
-
E.
Margush
Margush is an ancient historical region corresponding to the area around the oasis city of Merv in present-day Turkmenistan, once a major center on the Silk Road.
- 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_69d886d279c081909f8ff1f743ddeb69 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f9103e3881908e76cea1c4880779 |
completed | April 18, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0148376bc081908372366203a27fa8 |
completed | May 11, 2026, 3:08 a.m. |
| NEDg | Description generation | batch_6a014b5691a881908fdad49f7dadc76c |
completed | May 11, 2026, 3:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a014bbc921081909c39cd6d11400b56 |
completed | May 11, 2026, 3:23 a.m. |
Created at: April 10, 2026, 5:37 a.m.