Triple
T21965519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adel Emam |
E542445
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Rami Emam
Rami Emam is an Egyptian film and television director and producer known for his work in popular Arabic comedies and dramas.
|
E1510440
|
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: Rami Emam | Statement: [Adel Emam, child, Rami Emam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rami Emam Context triple: [Adel Emam, child, Rami Emam]
-
A.
Rami Nassar
Rami Nassar is a technology and innovation leader known for his work in digital strategy, product development, and emerging technologies.
-
B.
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."
-
C.
Tarek Sharif
Tarek Sharif is the son of legendary Egyptian actors Omar Sharif and Faten Hamama.
-
D.
Rami Hammoud
Rami Hammoud is a person notable enough to be recognized as a bearer of the Hammoud surname.
-
E.
Rami Afuni
Rami Afuni is a music producer and songwriter known for his work on R&B and pop tracks, including contributions to Toni Braxton’s hit “You’re Makin’ Me High.”
- 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: Rami Emam Triple: [Adel Emam, child, Rami Emam]
Generated description
Rami Emam is an Egyptian film and television director and producer known for his work in popular Arabic comedies and dramas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rami Emam Target entity description: Rami Emam is an Egyptian film and television director and producer known for his work in popular Arabic comedies and dramas.
-
A.
Rami Nassar
Rami Nassar is a technology and innovation leader known for his work in digital strategy, product development, and emerging technologies.
-
B.
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."
-
C.
Tarek Sharif
Tarek Sharif is the son of legendary Egyptian actors Omar Sharif and Faten Hamama.
-
D.
Rami Hammoud
Rami Hammoud is a person notable enough to be recognized as a bearer of the Hammoud surname.
-
E.
Rami Afuni
Rami Afuni is a music producer and songwriter known for his work on R&B and pop tracks, including contributions to Toni Braxton’s hit “You’re Makin’ Me High.”
- 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.