Triple
T19839416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Younes |
E476684
|
entity |
| Predicate | hasScriptForm |
P5713
|
FINISHED |
| Object |
يونس
يونس اسم علم عربي مذكر شائع في العالم الإسلامي، يُنسب غالبًا إلى النبي يونس المذكور في القرآن الكريم.
|
E1398616
|
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: يونس | Statement: [Younes, hasScriptForm, يونس]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: يونس Context triple: [Younes, hasScriptForm, يونس]
-
A.
Yasin
Yasin is a central character in Naguib Mahfouz's novel "Palace of Desire," known as the pleasure-seeking, impulsive son of the patriarch al-Sayyid Ahmad Abd al-Jawad.
-
B.
Yasin
Yasin is a surname most notably borne by Evgeny Yasin, a prominent Russian economist and public figure.
-
C.
Yasin
Yasin is a remote mountainous valley and settlement in northern Pakistan, known for its scenic landscapes, traditional villages, and strategic location within the broader Ghizer region of Gilgit-Baltistan.
-
D.
Yusuf
Yusuf is a skilled chemist and dream architect in the film "Inception," responsible for creating the powerful sedatives used in shared dreaming heists.
-
E.
Yusuf
Yusuf is a common male given name of Arabic origin, widely used in Muslim communities and equivalent to the name Joseph.
- 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: يونس Triple: [Younes, hasScriptForm, يونس]
Generated description
يونس اسم علم عربي مذكر شائع في العالم الإسلامي، يُنسب غالبًا إلى النبي يونس المذكور في القرآن الكريم.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: يونس Target entity description: يونس اسم علم عربي مذكر شائع في العالم الإسلامي، يُنسب غالبًا إلى النبي يونس المذكور في القرآن الكريم.
-
A.
Yasin
Yasin is a central character in Naguib Mahfouz's novel "Palace of Desire," known as the pleasure-seeking, impulsive son of the patriarch al-Sayyid Ahmad Abd al-Jawad.
-
B.
Yasin
Yasin is a surname most notably borne by Evgeny Yasin, a prominent Russian economist and public figure.
-
C.
Yasin
Yasin is a remote mountainous valley and settlement in northern Pakistan, known for its scenic landscapes, traditional villages, and strategic location within the broader Ghizer region of Gilgit-Baltistan.
-
D.
Yusuf
Yusuf is a revered prophet in Islamic tradition, known for his exemplary patience, prophetic dreams, and the Qur’anic narrative of his trials and rise to power in Egypt.
-
E.
Yusuf
Yusuf is a skilled chemist and dream architect in the film "Inception," responsible for creating the powerful sedatives used in shared dreaming heists.
- 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_69d8e51d39d081909bcfafeaaf3d2fcc |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65804be608190b49e110c3bf381bc |
completed | April 20, 2026, 4:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07d436990481908bb488d3935fa773 |
completed | May 16, 2026, 2:19 a.m. |
| NEDg | Description generation | batch_6a07d5ec45208190a75365a4a411aa7c |
completed | May 16, 2026, 2:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07d6ffc6508190aa9df66c2cf3d532 |
completed | May 16, 2026, 2:31 a.m. |
Created at: April 10, 2026, 1:50 p.m.