Triple
T20243491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ilham Yassin |
E498359
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Yassin
Yassin is a family name of Arabic origin commonly used across various Middle Eastern and Muslim communities.
|
E1420454
|
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: Yassin | Statement: [Ilham Yassin, familyName, Yassin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yassin Context triple: [Ilham Yassin, familyName, Yassin]
-
A.
Ali Abu Hassun
Ali Abu Hassun was a 16th-century ruler of the Wattasid dynasty in Morocco, known for his efforts to maintain Wattasid power amid internal strife and growing Saadian influence.
-
B.
Marwan
Marwan is a common Arabic male given name, historically associated with several notable figures in the Arab and Islamic world.
-
C.
Abdelbaset
Abdelbaset is an Arabic masculine given name most notably borne by Abdelbaset al-Megrahi, the Libyan man convicted in connection with the 1988 Lockerbie bombing.
-
D.
Abu al-Ma'ali
Abu al-Ma'ali is the honorific kunya of the eminent 11th-century Sunni theologian and Shafi'i jurist Imam al-Juwayni, a leading figure of classical Ash'ari kalam.
-
E.
Assef
Assef is the sadistic, sociopathic antagonist in "The Kite Runner," known for his brutality, extremist views, and pivotal role in the protagonist’s trauma.
- 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: Yassin Triple: [Ilham Yassin, familyName, Yassin]
Generated description
Yassin is a family name of Arabic origin commonly used across various Middle Eastern and Muslim communities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yassin Target entity description: Yassin is a family name of Arabic origin commonly used across various Middle Eastern and Muslim communities.
-
A.
Ali Abu Hassun
Ali Abu Hassun was a 16th-century ruler of the Wattasid dynasty in Morocco, known for his efforts to maintain Wattasid power amid internal strife and growing Saadian influence.
-
B.
Marwan
Marwan is a common Arabic male given name, historically associated with several notable figures in the Arab and Islamic world.
-
C.
Abdelbaset
Abdelbaset is an Arabic masculine given name most notably borne by Abdelbaset al-Megrahi, the Libyan man convicted in connection with the 1988 Lockerbie bombing.
-
D.
Abu al-Ma'ali
Abu al-Ma'ali is the honorific kunya of the eminent 11th-century Sunni theologian and Shafi'i jurist Imam al-Juwayni, a leading figure of classical Ash'ari kalam.
-
E.
Assef
Assef is the sadistic, sociopathic antagonist in "The Kite Runner," known for his brutality, extremist views, and pivotal role in the protagonist’s trauma.
- 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_69da6274c58c81909c646eabed6f4f30 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e67170aa248190922fc845d2265ae3 |
completed | April 20, 2026, 6:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0855222ac88190b8e950fcc12418e7 |
completed | May 16, 2026, 11:29 a.m. |
| NEDg | Description generation | batch_6a0855d7d87481908ff14d53a2ac94f7 |
completed | May 16, 2026, 11:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0856e66c808190b5ef994f1cbc5f3e |
completed | May 16, 2026, 11:37 a.m. |
Created at: April 11, 2026, 11:40 p.m.