Triple
T9997530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hany Abu-Assad |
E197237
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Omar
Omar is a critically acclaimed Palestinian thriller film directed by Hany Abu-Assad that explores love, betrayal, and resistance under Israeli occupation.
|
E836674
|
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: Omar | Statement: [Hany Abu-Assad, notableWork, Omar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Omar Context triple: [Hany Abu-Assad, notableWork, Omar]
-
A.
Omar
Omar is a masculine given name of Arabic origin meaning "flourishing" or "long-lived," borne by numerous historical and contemporary figures worldwide.
-
B.
Yahya
Yahya is the Islamic prophet identified with John the Baptist, revered for his piety, asceticism, and role in heralding the coming of Prophet Isa (Jesus).
-
C.
Sallah
Sallah is a jovial, resourceful Egyptian excavator and close ally of Indiana Jones who helps him navigate dangerous archaeological adventures.
-
D.
Mahmoud
Mahmoud is a common Arabic male given name widely used across the Middle East and Muslim-majority countries.
-
E.
Azzam
Azzam is a masculine given name of Arabic origin, commonly used in the Middle East and among Arabic-speaking communities.
- 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: Omar Triple: [Hany Abu-Assad, notableWork, Omar]
Generated description
Omar is a critically acclaimed Palestinian thriller film directed by Hany Abu-Assad that explores love, betrayal, and resistance under Israeli occupation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Omar Target entity description: Omar is a critically acclaimed Palestinian thriller film directed by Hany Abu-Assad that explores love, betrayal, and resistance under Israeli occupation.
-
A.
Omar
Omar is a masculine given name of Arabic origin meaning "flourishing" or "long-lived," borne by numerous historical and contemporary figures worldwide.
-
B.
Yahya
Yahya is the Islamic prophet identified with John the Baptist, revered for his piety, asceticism, and role in heralding the coming of Prophet Isa (Jesus).
-
C.
Sallah
Sallah is a jovial, resourceful Egyptian excavator and close ally of Indiana Jones who helps him navigate dangerous archaeological adventures.
-
D.
Mahmoud
Mahmoud is a common Arabic male given name widely used across the Middle East and Muslim-majority countries.
-
E.
Azzam
Azzam is a masculine given name of Arabic origin, commonly used in the Middle East and among Arabic-speaking communities.
- 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_69ca82f3b61c81908ecc2c1c96dbc2e4 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdcc8aa1a881909879a694496f11a5 |
completed | April 2, 2026, 1:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2820063f48190886619fe26b0cc94 |
completed | April 5, 2026, 3:38 p.m. |
| NEDg | Description generation | batch_69d282fd10248190a1a0b4573b2065ae |
completed | April 5, 2026, 3:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d283d0e1748190a0c65bbaa8e8348e |
completed | April 5, 2026, 3:46 p.m. |
Created at: March 30, 2026, 8:51 p.m.