Triple
T17747760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enver Gjokaj |
E443031
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Enver
Enver is a masculine given name of Albanian origin, most notably borne by American actor Enver Gjokaj.
|
E1285992
|
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: Enver | Statement: [Enver Gjokaj, givenName, Enver]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Enver Context triple: [Enver Gjokaj, givenName, Enver]
-
A.
Enver Pasha
Enver Pasha was an Ottoman military officer and leading member of the Young Turks who served as Minister of War during World War I and played a central role in the late Ottoman Empire’s politics and military campaigns.
-
B.
Mihalıççık
Mihalıççık is a rural district and town in central Turkey known for its mountainous terrain and location within Eskişehir Province in Central Anatolia.
-
C.
Fevzi
Fevzi is a Turkish masculine given name, historically borne by notable figures such as military leader and statesman Fevzi Çakmak.
-
D.
Cemal
Cemal is a masculine given name of Turkish origin commonly used in Turkey and among Turkish-speaking communities.
-
E.
Makhar Vaziev
Makhar Vaziev is a prominent Russian ballet director and former dancer best known for leading major companies including the Bolshoi Ballet and La Scala Ballet.
- 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: Enver Triple: [Enver Gjokaj, givenName, Enver]
Generated description
Enver is a masculine given name of Albanian origin, most notably borne by American actor Enver Gjokaj.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Enver Target entity description: Enver is a masculine given name of Albanian origin, most notably borne by American actor Enver Gjokaj.
-
A.
Enver Pasha
Enver Pasha was an Ottoman military officer and leading member of the Young Turks who served as Minister of War during World War I and played a central role in the late Ottoman Empire’s politics and military campaigns.
-
B.
Mihalıççık
Mihalıççık is a rural district and town in central Turkey known for its mountainous terrain and location within Eskişehir Province in Central Anatolia.
-
C.
Fevzi
Fevzi is a Turkish masculine given name, historically borne by notable figures such as military leader and statesman Fevzi Çakmak.
-
D.
Cemal
Cemal is a masculine given name of Turkish origin commonly used in Turkey and among Turkish-speaking communities.
-
E.
Makhar Vaziev
Makhar Vaziev is a prominent Russian ballet director and former dancer best known for leading major companies including the Bolshoi Ballet and La Scala Ballet.
- 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47ad33160819093c9bbd3c8957314 |
completed | April 19, 2026, 6:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02430296708190a2e68097b69f2f37 |
completed | May 11, 2026, 8:58 p.m. |
| NEDg | Description generation | batch_6a024810afec8190bfe11b35bb1853ac |
completed | May 11, 2026, 9:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0248e4d7548190b23a70068868b2f9 |
completed | May 11, 2026, 9:23 p.m. |
Created at: April 10, 2026, 10:10 a.m.