Triple
T21965494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adel Emam |
E542445
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Al-Aar
Al-Aar is a famous Egyptian film featuring Adel Emam in a dramatic role that explores social and moral issues.
|
E1510421
|
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: Al-Aar | Statement: [Adel Emam, notableWork, Al-Aar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Al-Aar Context triple: [Adel Emam, notableWork, Al-Aar]
-
A.
Al Majarrah
Al Majarrah is a waterfront district in Sharjah, United Arab Emirates, known for its cultural landmarks and museums.
-
B.
Al-Azza
Al-Azza is a Palestinian refugee camp located near Bethlehem in the West Bank, known for its dense population and longstanding refugee community.
-
C.
Al-Bar’ah
Al-Bar’ah is a traditional Omani folk dance characterized by rhythmic movements, chanting, and the use of swords or daggers, often performed at celebrations and cultural events.
-
D.
Al-Wafra
Al-Wafra is an agricultural town in southern Kuwait known for its extensive farms and greenhouses that supply much of the country’s fresh produce.
-
E.
Al-Yasa
Al-Yasa is a prophet in Islamic tradition, identified with the biblical Elisha and revered for continuing the mission of earlier prophets in guiding his people to monotheism.
- 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: Al-Aar Triple: [Adel Emam, notableWork, Al-Aar]
Generated description
Al-Aar is a famous Egyptian film featuring Adel Emam in a dramatic role that explores social and moral issues.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Al-Aar Target entity description: Al-Aar is a famous Egyptian film featuring Adel Emam in a dramatic role that explores social and moral issues.
-
A.
Al Majarrah
Al Majarrah is a waterfront district in Sharjah, United Arab Emirates, known for its cultural landmarks and museums.
-
B.
Al-Azza
Al-Azza is a Palestinian refugee camp located near Bethlehem in the West Bank, known for its dense population and longstanding refugee community.
-
C.
Al-Bar’ah
Al-Bar’ah is a traditional Omani folk dance characterized by rhythmic movements, chanting, and the use of swords or daggers, often performed at celebrations and cultural events.
-
D.
Al-Wafra
Al-Wafra is an agricultural town in southern Kuwait known for its extensive farms and greenhouses that supply much of the country’s fresh produce.
-
E.
Al-Yasa
Al-Yasa is a prophet in Islamic tradition, identified with the biblical Elisha and revered for continuing the mission of earlier prophets in guiding his people to monotheism.
- 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_69e0c47fab1081908dc74a6545dbb051 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1245aabf88190a44564e6eaaa94ce |
completed | April 28, 2026, 9:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a6712b37c8190b2ff58713f1b45ee |
completed | May 18, 2026, 1:10 a.m. |
| NEDg | Description generation | batch_6a0a67a1c82881909f71e24139576c31 |
completed | May 18, 2026, 1:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a68583248819085f413692d35c1b9 |
completed | May 18, 2026, 1:16 a.m. |
Created at: April 16, 2026, 8:01 p.m.