Triple
T18331169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orhan Kemal |
E439143
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Murtaza
Murtaza is a well-known Turkish novel by Orhan Kemal that portrays the struggles and mentality of an overzealous night watchman in a changing society.
|
E1320650
|
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: Murtaza | Statement: [Orhan Kemal, notableWork, Murtaza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Murtaza Context triple: [Orhan Kemal, notableWork, Murtaza]
-
A.
Jalil
Jalil is a masculine given name of Arabic origin meaning "great," "exalted," or "majestic."
-
B.
Mustafa
Mustafa is the given birth name of Mustafa Kemal Atatürk, the founder and first president of the Republic of Turkey.
-
C.
Mustafa
Mustafa is a common male given name of Arabic origin, widely used across the Muslim world and often associated with the Prophet Muhammad as an honorific meaning "the chosen one."
-
D.
Mustafa
Mustafa is a minor character in Pixar's animated film "Ratatouille," serving as the head waiter at Gusteau’s famed Parisian restaurant.
-
E.
Mahmoud
Mahmoud is a common Arabic male given name widely used across the Middle East and Muslim-majority countries.
- 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: Murtaza Triple: [Orhan Kemal, notableWork, Murtaza]
Generated description
Murtaza is a well-known Turkish novel by Orhan Kemal that portrays the struggles and mentality of an overzealous night watchman in a changing society.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Murtaza Target entity description: Murtaza is a well-known Turkish novel by Orhan Kemal that portrays the struggles and mentality of an overzealous night watchman in a changing society.
-
A.
Jalil
Jalil is a masculine given name of Arabic origin meaning "great," "exalted," or "majestic."
-
B.
Mustafa
Mustafa is the given birth name of Mustafa Kemal Atatürk, the founder and first president of the Republic of Turkey.
-
C.
Mustafa
Mustafa is a minor character in Pixar's animated film "Ratatouille," serving as the head waiter at Gusteau’s famed Parisian restaurant.
-
D.
Mustafa
Mustafa is a common male given name of Arabic origin, widely used across the Muslim world and often associated with the Prophet Muhammad as an honorific meaning "the chosen one."
-
E.
Mahmoud
Mahmoud is a common Arabic male given name widely used across the Middle East and Muslim-majority countries.
- 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_69d8b9175fec8190af865699b4e64d8c |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50eca08388190b4e757a5f63b5d41 |
completed | April 19, 2026, 5:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03d76c542881909d2592c2b4646ad5 |
completed | May 13, 2026, 1:44 a.m. |
| NEDg | Description generation | batch_6a03d80cbd708190b9b54ff85c5ec66c |
completed | May 13, 2026, 1:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03d8a25460819090f1ffa15f05a716 |
completed | May 13, 2026, 1:49 a.m. |
Created at: April 10, 2026, 10:36 a.m.