Triple
T7849079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Executive Decision |
E181997
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Nagi Hassan
Nagi Hassan is the primary antagonist and terrorist leader in the 1996 action-thriller film "Executive Decision."
|
E699887
|
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: Nagi Hassan | Statement: [Executive Decision, mainCharacter, Nagi Hassan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nagi Hassan Context triple: [Executive Decision, mainCharacter, Nagi Hassan]
-
A.
Alexander Siddig
Alexander Siddig is a Sudanese-born British actor known for his roles in film and television, including prominent performances in "Star Trek: Deep Space Nine," "Syriana," and "Game of Thrones."
-
B.
Nassar
Nassar is a surname most prominently associated with Egyptian-American show jumping rider Nayel Nassar.
-
C.
Faika Fuad
Faika Fuad was an Egyptian princess, the daughter of King Fuad I and a member of Egypt’s last ruling royal family.
-
D.
Hoceima
Hoceima is a coastal city in northern Morocco known for its Mediterranean beaches and location within the Rif Mountains.
-
E.
Fahadh Faasil
Fahadh Faasil is an acclaimed Indian actor, primarily known for his versatile and intense performances in Malayalam cinema and notable roles in pan-Indian films.
- 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: Nagi Hassan Triple: [Executive Decision, mainCharacter, Nagi Hassan]
Generated description
Nagi Hassan is the primary antagonist and terrorist leader in the 1996 action-thriller film "Executive Decision."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nagi Hassan Target entity description: Nagi Hassan is the primary antagonist and terrorist leader in the 1996 action-thriller film "Executive Decision."
-
A.
Alexander Siddig
Alexander Siddig is a Sudanese-born British actor known for his roles in film and television, including prominent performances in "Star Trek: Deep Space Nine," "Syriana," and "Game of Thrones."
-
B.
Nassar
Nassar is a surname most prominently associated with Egyptian-American show jumping rider Nayel Nassar.
-
C.
Faika Fuad
Faika Fuad was an Egyptian princess, the daughter of King Fuad I and a member of Egypt’s last ruling royal family.
-
D.
Hoceima
Hoceima is a coastal city in northern Morocco known for its Mediterranean beaches and location within the Rif Mountains.
-
E.
Fahadh Faasil
Fahadh Faasil is an acclaimed Indian actor, primarily known for his versatile and intense performances in Malayalam cinema and notable roles in pan-Indian films.
- 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_69ca82869ee08190b8f9040dbc2c0467 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb18e7f5988190808ae4dcfbc06991 |
completed | March 31, 2026, 12:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5b0515c08190b866a39749d54849 |
completed | March 31, 2026, 5:26 a.m. |
| NEDg | Description generation | batch_69cb762eab0881909c5035b3086dfdd9 |
completed | March 31, 2026, 7:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cbb801cc0c8190864d28e199eb5e67 |
completed | March 31, 2026, 12:03 p.m. |
Created at: March 30, 2026, 4:50 p.m.