Triple
T15088614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenan Evren |
E360351
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Evren
Evren is a Turkish surname most notably associated with Kenan Evren, the former military leader and seventh President of Turkey.
|
E1136981
|
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: Evren | Statement: [Kenan Evren, familyName, Evren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Evren Context triple: [Kenan Evren, familyName, Evren]
-
A.
Universo
Universo is a U.S.-based Spanish-language cable television network owned by NBCUniversal that features sports, entertainment, and music programming aimed primarily at Latino audiences.
-
B.
Erdek
Erdek is a coastal town and popular seaside resort in Turkey’s Balıkesir Province, located on the Kapıdağ Peninsula along the Sea of Marmara.
-
C.
Kosmos
Kosmos is Alexander von Humboldt’s multi-volume work that presents a comprehensive scientific and philosophical overview of the natural world and the universe.
-
D.
Mahaprithibi
Mahaprithibi is a celebrated Bengali poetry collection by Jibanananda Das that reflects his modernist style and introspective, evocative imagery.
-
E.
Verden
Verden is a historic town in Lower Saxony, Germany, known for its medieval cathedral and location along the Weser River.
- 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: Evren Triple: [Kenan Evren, familyName, Evren]
Generated description
Evren is a Turkish surname most notably associated with Kenan Evren, the former military leader and seventh President of Turkey.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Evren Target entity description: Evren is a Turkish surname most notably associated with Kenan Evren, the former military leader and seventh President of Turkey.
-
A.
Universo
Universo is a U.S.-based Spanish-language cable television network owned by NBCUniversal that features sports, entertainment, and music programming aimed primarily at Latino audiences.
-
B.
Erdek
Erdek is a coastal town and popular seaside resort in Turkey’s Balıkesir Province, located on the Kapıdağ Peninsula along the Sea of Marmara.
-
C.
Kosmos
Kosmos is Alexander von Humboldt’s multi-volume work that presents a comprehensive scientific and philosophical overview of the natural world and the universe.
-
D.
Mahaprithibi
Mahaprithibi is a celebrated Bengali poetry collection by Jibanananda Das that reflects his modernist style and introspective, evocative imagery.
-
E.
Verden
Verden is a historic town in Lower Saxony, Germany, known for its medieval cathedral and location along the Weser River.
- 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_69d85a035aa88190b52a139d3a1b7b6d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00277ea808190be3f002a8316eff1 |
completed | April 15, 2026, 9:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feae1ba4208190b1e8c55668a1b422 |
completed | May 9, 2026, 3:46 a.m. |
| NEDg | Description generation | batch_69feb10161fc81908aef193552ada55b |
completed | May 9, 2026, 3:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69feb168eac0819098bd76bac6daa838 |
completed | May 9, 2026, 4 a.m. |
Created at: April 10, 2026, 3:04 a.m.