Triple
T7281528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gülse Birsel |
E163159
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Hâlâ Ciddiyim
Hâlâ Ciddiyim is a humor book by Turkish writer and screenwriter Gülse Birsel, featuring her characteristically witty commentary on contemporary life and society.
|
E654082
|
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: Hâlâ Ciddiyim | Statement: [Gülse Birsel, notableWork, Hâlâ Ciddiyim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hâlâ Ciddiyim Context triple: [Gülse Birsel, notableWork, Hâlâ Ciddiyim]
-
A.
İnce Memed
İnce Memed is a classic Turkish novel that follows a young villager’s transformation into a legendary bandit and symbol of resistance against feudal oppression.
-
B.
Mezallat
Mezallat is a passenger station on Cairo Metro’s Line 2 serving commuters in the Greater Cairo area.
-
C.
Mürefte
Mürefte is a coastal town in northwestern Turkey renowned for its vineyards and wine production.
-
D.
Yiğitler
Yiğitler is a small coastal settlement on Avşa Island in Turkey, known for its tranquil beaches and local tourism.
-
E.
Destan Gibi
Destan Gibi is a poem by influential Turkish poet Orhan Veli Kanık, reflecting his modern, plainspoken style that helped transform 20th-century Turkish poetry.
- 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: Hâlâ Ciddiyim Triple: [Gülse Birsel, notableWork, Hâlâ Ciddiyim]
Generated description
Hâlâ Ciddiyim is a humor book by Turkish writer and screenwriter Gülse Birsel, featuring her characteristically witty commentary on contemporary life and society.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hâlâ Ciddiyim Target entity description: Hâlâ Ciddiyim is a humor book by Turkish writer and screenwriter Gülse Birsel, featuring her characteristically witty commentary on contemporary life and society.
-
A.
İnce Memed
İnce Memed is a classic Turkish novel that follows a young villager’s transformation into a legendary bandit and symbol of resistance against feudal oppression.
-
B.
Mezallat
Mezallat is a passenger station on Cairo Metro’s Line 2 serving commuters in the Greater Cairo area.
-
C.
Mürefte
Mürefte is a coastal town in northwestern Turkey renowned for its vineyards and wine production.
-
D.
Yiğitler
Yiğitler is a small coastal settlement on Avşa Island in Turkey, known for its tranquil beaches and local tourism.
-
E.
Destan Gibi
Destan Gibi is a poem by influential Turkish poet Orhan Veli Kanık, reflecting his modern, plainspoken style that helped transform 20th-century Turkish poetry.
- 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_69c6885c5964819085b209701769877f |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb34fe0c8190a642fd3339f0cacd |
completed | March 27, 2026, 8:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7db379e1c81908ebd4c44504ce5fb |
completed | March 28, 2026, 1:44 p.m. |
| NEDg | Description generation | batch_69c7df4788e081908ccc162125c6550d |
completed | March 28, 2026, 2:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7dfa826d081909129df80cca13daa |
completed | March 28, 2026, 2:03 p.m. |
Created at: March 27, 2026, 2:59 p.m.