Triple
T16379480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Class (TV series) |
E397761
|
entity |
| Predicate | featuresActor |
P15562
|
FINISHED |
| Object | Fady Elsayed |
E83678
|
NE FINISHED |
How this triple was built (2 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 (TV series), featuresActor, Fady Elsayed]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fady Elsayed Context triple: [Class (TV series), featuresActor, Fady Elsayed]
-
A.
Fady Elsayed
chosen
Fady Elsayed is a British actor known for his roles in film and television, including the Doctor Who spin-off series "Class."
-
B.
Nabil Elaraby
Nabil Elaraby is an Egyptian diplomat and jurist who has served in prominent international roles, including leadership within the Arab League and representation at the United Nations.
-
C.
Youssef Amer
Youssef Amer is a notable individual recognized for bearing the surname Amer.
-
D.
Khaled Mohieddin
Khaled Mohieddin was an Egyptian military officer, politician, and prominent leftist figure who played a key role in the 1952 revolution that overthrew the monarchy.
-
E.
Walid Guirguis
Walid Guirguis is a screenwriter best known for his work on the 1951 film "M."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e319da3c6c8190a9ccf744996c31e8 |
completed | April 18, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00457751208190b1e3dd6be3c0f363 |
completed | May 10, 2026, 8:44 a.m. |
Created at: April 10, 2026, 5:08 a.m.