Triple
T22571671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rüştü Reçber |
E558087
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Işıl Reçber
Işıl Reçber is a Turkish public figure and media personality best known as the wife of former national football goalkeeper Rüştü Reçber.
|
E1542952
|
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: Işıl Reçber | Statement: [Rüştü Reçber, spouse, Işıl Reçber]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Işıl Reçber Context triple: [Rüştü Reçber, spouse, Işıl Reçber]
-
A.
Nebahat Çehre
Nebahat Çehre is a renowned Turkish actress and former beauty queen, widely recognized for her roles in prominent Turkish television dramas and films.
-
B.
Vahide Perçin
Vahide Perçin is a prominent Turkish actress known for her leading roles in popular television dramas and films.
-
C.
Nuriye Öğütçü
Nuriye Öğütçü was the wife of renowned Turkish novelist Orhan Kemal and a figure known primarily in connection with his personal life.
-
D.
Süreyya İlmen
Süreyya İlmen was a prominent Turkish politician and philanthropist known for his contributions to Istanbul’s cultural life, including the establishment of the Süreyya Opera House.
-
E.
Ayşe Selçuk
Ayşe Selçuk is a notable individual who shares the Turkish surname Selçuk, recognized among its prominent bearers.
- 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: Işıl Reçber Triple: [Rüştü Reçber, spouse, Işıl Reçber]
Generated description
Işıl Reçber is a Turkish public figure and media personality best known as the wife of former national football goalkeeper Rüştü Reçber.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Işıl Reçber Target entity description: Işıl Reçber is a Turkish public figure and media personality best known as the wife of former national football goalkeeper Rüştü Reçber.
-
A.
Nebahat Çehre
Nebahat Çehre is a renowned Turkish actress and former beauty queen, widely recognized for her roles in prominent Turkish television dramas and films.
-
B.
Vahide Perçin
Vahide Perçin is a prominent Turkish actress known for her leading roles in popular television dramas and films.
-
C.
Nuriye Öğütçü
Nuriye Öğütçü was the wife of renowned Turkish novelist Orhan Kemal and a figure known primarily in connection with his personal life.
-
D.
Süreyya İlmen
Süreyya İlmen was a prominent Turkish politician and philanthropist known for his contributions to Istanbul’s cultural life, including the establishment of the Süreyya Opera House.
-
E.
Ayşe Selçuk
Ayşe Selçuk is a notable individual who shares the Turkish surname Selçuk, recognized among its prominent bearers.
- 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_69e11e5ae4ac8190b1f503457603d969 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15fae1ed881909430769a0015c39c |
completed | April 29, 2026, 1:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b2d7828988190af945de92c604ac7 |
completed | May 18, 2026, 3:17 p.m. |
| NEDg | Description generation | batch_6a0b3648cb208190b749e343c3d5c88d |
completed | May 18, 2026, 3:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b37002120819097bf1f6e56b6afe5 |
completed | May 18, 2026, 3:57 p.m. |
Created at: April 16, 2026, 8:52 p.m.