Triple
T4687802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ramy |
E103962
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
May Calamawy
May Calamawy is an Egyptian-Palestinian actress best known for her breakout role in the Hulu comedy-drama series "Ramy" and for playing Layla El-Faouly in Marvel's "Moon Knight."
|
E459869
|
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: May Calamawy | Statement: [Ramy, starring, May Calamawy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: May Calamawy Context triple: [Ramy, starring, May Calamawy]
-
A.
Mutasa
Mutasa is a town located in Zimbabwe’s eastern Manicaland Province, known for its rural communities and proximity to the Eastern Highlands.
-
B.
Wakema
Wakema is a town in Myanmar’s Ayeyarwady Region, known as the birthplace of former Burmese Prime Minister U Nu.
-
C.
Thoosa
Thoosa is a minor sea nymph in Greek mythology, known primarily as the mother of the Cyclops Polyphemus by the sea god Poseidon.
-
D.
Marisus
Marisus is the historical Latin name for the Mureș River, a major waterway flowing through present-day Romania and Hungary.
-
E.
Warren Jabali
Warren Jabali was an American professional basketball guard/forward best known for his standout play and All-Star success in the American Basketball Association (ABA) during the late 1960s and early 1970s.
- 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: May Calamawy Triple: [Ramy, starring, May Calamawy]
Generated description
May Calamawy is an Egyptian-Palestinian actress best known for her breakout role in the Hulu comedy-drama series "Ramy" and for playing Layla El-Faouly in Marvel's "Moon Knight."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: May Calamawy Target entity description: May Calamawy is an Egyptian-Palestinian actress best known for her breakout role in the Hulu comedy-drama series "Ramy" and for playing Layla El-Faouly in Marvel's "Moon Knight."
-
A.
Mutasa
Mutasa is a town located in Zimbabwe’s eastern Manicaland Province, known for its rural communities and proximity to the Eastern Highlands.
-
B.
Wakema
Wakema is a town in Myanmar’s Ayeyarwady Region, known as the birthplace of former Burmese Prime Minister U Nu.
-
C.
Thoosa
Thoosa is a minor sea nymph in Greek mythology, known primarily as the mother of the Cyclops Polyphemus by the sea god Poseidon.
-
D.
Marisus
Marisus is the historical Latin name for the Mureș River, a major waterway flowing through present-day Romania and Hungary.
-
E.
Warren Jabali
Warren Jabali was an American professional basketball guard/forward best known for his standout play and All-Star success in the American Basketball Association (ABA) during the late 1960s and early 1970s.
- 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_69bd43debbf08190b4bc372e286ec234 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd6397f6888190a9024a51d4d34f2b |
completed | March 20, 2026, 3:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be03b75e3481908aa27eeaeec490ca |
completed | March 21, 2026, 2:34 a.m. |
| NEDg | Description generation | batch_69be042adb8c8190b6889c3a5b9c18cc |
completed | March 21, 2026, 2:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be048f7d7881908ab19bd37c92b423 |
completed | March 21, 2026, 2:38 a.m. |
Created at: March 20, 2026, 1:16 p.m.