Triple
T22855881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zulu Dawn |
E566477
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object |
Ousama Rawi
Ousama Rawi is a cinematographer known for his work on films such as the historical war drama "Zulu Dawn."
|
E1559234
|
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: Ousama Rawi | Statement: [Zulu Dawn, cinematographyBy, Ousama Rawi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ousama Rawi Context triple: [Zulu Dawn, cinematographyBy, Ousama Rawi]
-
A.
Khaled Toukan
Khaled Toukan is a prominent Jordanian nuclear physicist and politician who has served in key ministerial and scientific leadership roles in Jordan.
-
B.
Reda Kateb
Reda Kateb is a French actor known for his intense, nuanced performances in both French and international films, including acclaimed roles in works like "A Prophet" and "Zero Dark Thirty."
-
C.
Mahmoud Hemeida
Mahmoud Hemeida is an Egyptian actor known for his prominent roles in Egyptian cinema and television.
-
D.
Khaled Said
Khaled Said was an Egyptian man whose brutal death at the hands of police in 2010 became a symbol of state repression and helped spark the Egyptian Revolution of 2011.
-
E.
Ismail Toukan
Ismail Toukan is a notable member of the prominent Toukan family, recognized for his significance within this influential lineage.
- 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: Ousama Rawi Triple: [Zulu Dawn, cinematographyBy, Ousama Rawi]
Generated description
Ousama Rawi is a cinematographer known for his work on films such as the historical war drama "Zulu Dawn."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ousama Rawi Target entity description: Ousama Rawi is a cinematographer known for his work on films such as the historical war drama "Zulu Dawn."
-
A.
Khaled Toukan
Khaled Toukan is a prominent Jordanian nuclear physicist and politician who has served in key ministerial and scientific leadership roles in Jordan.
-
B.
Reda Kateb
Reda Kateb is a French actor known for his intense, nuanced performances in both French and international films, including acclaimed roles in works like "A Prophet" and "Zero Dark Thirty."
-
C.
Mahmoud Hemeida
Mahmoud Hemeida is an Egyptian actor known for his prominent roles in Egyptian cinema and television.
-
D.
Khaled Said
Khaled Said was an Egyptian man whose brutal death at the hands of police in 2010 became a symbol of state repression and helped spark the Egyptian Revolution of 2011.
-
E.
Ismail Toukan
Ismail Toukan is a notable member of the prominent Toukan family, recognized for his significance within this influential lineage.
- 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_69e2458750b481908a8e4cf4609cc6cf |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17ebc6a088190890f2474f18a10eb |
completed | April 29, 2026, 3:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bae87f2548190b7e226cec45ce06a |
completed | May 19, 2026, 12:27 a.m. |
| NEDg | Description generation | batch_6a0bb073073c819086eb73d5dfaf3887 |
completed | May 19, 2026, 12:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bb100b2008190bc741883a9efb2df |
completed | May 19, 2026, 12:38 a.m. |
Created at: April 17, 2026, 3:37 p.m.