Triple
T671670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Class |
E12983
|
entity |
| Predicate | featuresActor |
P15562
|
FINISHED |
| Object |
Fady Elsayed
Fady Elsayed is a British actor known for his roles in film and television, including the Doctor Who spin-off series "Class."
|
E83678
|
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: Fady Elsayed | Statement: [Class, featuresActor, Fady Elsayed]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fady Elsayed Context triple: [Class, featuresActor, Fady Elsayed]
-
A.
Nazlet El-Semman
Nazlet El-Semman is a village on the outskirts of Giza in Egypt, best known as the primary gateway settlement to the Giza Pyramids and Sphinx plateau.
-
B.
Mostafa Madbouly
Mostafa Madbouly is an Egyptian politician who has served as the Prime Minister of Egypt, overseeing the country's executive government.
-
C.
Hassan Aref
Hassan Aref was a prominent physicist and engineer known for his pioneering contributions to fluid dynamics, particularly in vortex dynamics and chaotic advection.
-
D.
Eissa Al Mana
Eissa Al Mana is the son of American singer Janet Jackson and Qatari businessman Wissam Al Mana, born in 2017.
-
E.
Oussama Khatib
Oussama Khatib is a prominent roboticist known for his pioneering work in robot motion planning, control, and human-robot interaction.
- 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: Fady Elsayed Triple: [Class, featuresActor, Fady Elsayed]
Generated description
Fady Elsayed is a British actor known for his roles in film and television, including the Doctor Who spin-off series "Class."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fady Elsayed Target entity description: Fady Elsayed is a British actor known for his roles in film and television, including the Doctor Who spin-off series "Class."
-
A.
Nazlet El-Semman
Nazlet El-Semman is a village on the outskirts of Giza in Egypt, best known as the primary gateway settlement to the Giza Pyramids and Sphinx plateau.
-
B.
Mostafa Madbouly
Mostafa Madbouly is an Egyptian politician who has served as the Prime Minister of Egypt, overseeing the country's executive government.
-
C.
Hassan Aref
Hassan Aref was a prominent physicist and engineer known for his pioneering contributions to fluid dynamics, particularly in vortex dynamics and chaotic advection.
-
D.
Eissa Al Mana
Eissa Al Mana is the son of American singer Janet Jackson and Qatari businessman Wissam Al Mana, born in 2017.
-
E.
Oussama Khatib
Oussama Khatib is a prominent roboticist known for his pioneering work in robot motion planning, control, and human-robot interaction.
- 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_69a493355dec819098d4244b2fa34885 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a518e6348190b467c2fab3fd1f11 |
completed | March 1, 2026, 8:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5c39f3e1481908f395cdb19cfd2fc |
completed | March 2, 2026, 5:06 p.m. |
| NEDg | Description generation | batch_69a5c42d4a0481908af4a71b4625c130 |
completed | March 2, 2026, 5:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a5ce16df088190850a3b851558eba8 |
completed | March 2, 2026, 5:51 p.m. |
Created at: March 1, 2026, 7:36 p.m.