Triple
T5918722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Youssef Chahine |
E131647
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Al-Mohager
Al-Mohager is a 1994 Egyptian historical drama film by director Youssef Chahine that offers a modern, allegorical retelling of the biblical story of Joseph.
|
E556960
|
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-Mohager | Statement: [Youssef Chahine, notableWork, Al-Mohager]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Al-Mohager Context triple: [Youssef Chahine, notableWork, Al-Mohager]
-
A.
Al-Hareeq
Al-Hareeq is a town in central Saudi Arabia known for its agricultural activity, particularly date palm cultivation, within the Riyadh region.
-
B.
Hammad
Hammad is a character in the novel "Falling Man," which explores the aftermath of the September 11 attacks.
-
C.
Abu al-Ula
Abu al-Ula was a Muslim ruler in medieval Seville under whose authority the iconic Torre del Oro was constructed.
-
D.
Umara
Umara is the plural form of the Arabic name or title "Amir," commonly used to refer to multiple rulers or princes.
-
E.
As-Samad
As-Samad is one of the names of Allah in Islam, signifying the One who is absolutely self-sufficient, eternally depended upon by all creation, and free of all need.
- 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-Mohager Triple: [Youssef Chahine, notableWork, Al-Mohager]
Generated description
Al-Mohager is a 1994 Egyptian historical drama film by director Youssef Chahine that offers a modern, allegorical retelling of the biblical story of Joseph.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Al-Mohager Target entity description: Al-Mohager is a 1994 Egyptian historical drama film by director Youssef Chahine that offers a modern, allegorical retelling of the biblical story of Joseph.
-
A.
Al-Hareeq
Al-Hareeq is a town in central Saudi Arabia known for its agricultural activity, particularly date palm cultivation, within the Riyadh region.
-
B.
Hammad
Hammad is a character in the novel "Falling Man," which explores the aftermath of the September 11 attacks.
-
C.
Abu al-Ula
Abu al-Ula was a Muslim ruler in medieval Seville under whose authority the iconic Torre del Oro was constructed.
-
D.
Umara
Umara is the plural form of the Arabic name or title "Amir," commonly used to refer to multiple rulers or princes.
-
E.
As-Samad
As-Samad is one of the names of Allah in Islam, signifying the One who is absolutely self-sufficient, eternally depended upon by all creation, and free of all need.
- 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_69c0085a1ed08190a7e9a8b6323fd680 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c038003c408190b2a89df0b759dcbf |
completed | March 22, 2026, 6:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c033d59481909495192af85307b7 |
completed | March 23, 2026, 4:23 a.m. |
| NEDg | Description generation | batch_69c0c1bf78908190933360b1099b1444 |
completed | March 23, 2026, 4:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0c240c3ac8190895c621c3d326bfd |
completed | March 23, 2026, 4:32 a.m. |
Created at: March 22, 2026, 4 p.m.