Triple
T7681407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hülya Koçyiğit |
E174000
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Gülşah Soydan
Gülşah Soydan is known as the daughter of prominent Turkish actress Hülya Koçyiğit.
|
E683236
|
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: Gülşah Soydan | Statement: [Hülya Koçyiğit, hasChild, Gülşah Soydan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gülşah Soydan Context triple: [Hülya Koçyiğit, hasChild, Gülşah Soydan]
-
A.
Yasemin Erkut
Yasemin Erkut is known as the spouse of the late Turkish actor and prominent cinema figure Tarık Akan.
-
B.
Nesrin Cansever
Nesrin Cansever is known as the wife of prominent Turkish modernist poet Edip Cansever.
-
C.
Canan Karatay
Canan Karatay is a Turkish cardiologist and academic known for her influential and often controversial views on nutrition and healthy living.
-
D.
Şükran Güngör
Şükran Güngör was a prominent Turkish stage and film actor, celebrated for his work in modern Turkish theatre and his long association with the Kenter Theatre.
-
E.
Kubra Balik
Kubra Balik is a powerful and ruthless international drug trafficker who serves as a major antagonist in the television series "Orange Is the New Black."
- 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: Gülşah Soydan Triple: [Hülya Koçyiğit, hasChild, Gülşah Soydan]
Generated description
Gülşah Soydan is known as the daughter of prominent Turkish actress Hülya Koçyiğit.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gülşah Soydan Target entity description: Gülşah Soydan is known as the daughter of prominent Turkish actress Hülya Koçyiğit.
-
A.
Yasemin Erkut
Yasemin Erkut is known as the spouse of the late Turkish actor and prominent cinema figure Tarık Akan.
-
B.
Nesrin Cansever
Nesrin Cansever is known as the wife of prominent Turkish modernist poet Edip Cansever.
-
C.
Canan Karatay
Canan Karatay is a Turkish cardiologist and academic known for her influential and often controversial views on nutrition and healthy living.
-
D.
Şükran Güngör
Şükran Güngör was a prominent Turkish stage and film actor, celebrated for his work in modern Turkish theatre and his long association with the Kenter Theatre.
-
E.
Kubra Balik
Kubra Balik is a powerful and ruthless international drug trafficker who serves as a major antagonist in the television series "Orange Is the New Black."
- 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_69c6995840408190a19de6c51090f46f |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70201387c8190afc8479b5a9e21e8 |
completed | March 27, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8ac9e0cd081909b404f6a7e978f6b |
completed | March 29, 2026, 4:37 a.m. |
| NEDg | Description generation | batch_69c8ae258a7081909bd30259a368d865 |
completed | March 29, 2026, 4:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8aebc46e481908872d0c4c77345b5 |
completed | March 29, 2026, 4:46 a.m. |
Created at: March 27, 2026, 4:01 p.m.