Triple
T23328192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prom Queen |
E591357
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Leeni Ramadan
Leeni Ramadan is a musician best known as a member of the indie pop project Prom Queen.
|
E1583290
|
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: Leeni Ramadan | Statement: [Prom Queen, hasMember, Leeni Ramadan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leeni Ramadan Context triple: [Prom Queen, hasMember, Leeni Ramadan]
-
A.
Yasmine El Rashidi
Yasmine El Rashidi is an Egyptian writer and journalist known for her essays and reportage on contemporary Egyptian politics and society.
-
B.
Ruqaia Hasan
Ruqaia Hasan was a prominent linguist known for her work in systemic functional linguistics, discourse analysis, and the social semiotic study of language.
-
C.
Naima Akef
Naima Akef was a renowned Egyptian belly dancer, actress, and singer who rose to fame in the 1940s and 1950s as one of the leading stars of Egyptian musical cinema.
-
D.
Haya Harareet
Haya Harareet was an Israeli actress best known for her role as Esther opposite Charlton Heston in the 1959 epic film "Ben-Hur."
-
E.
Sherine Khalil
Sherine Khalil is a person whose given name is associated with the entity Athena.
- 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: Leeni Ramadan Triple: [Prom Queen, hasMember, Leeni Ramadan]
Generated description
Leeni Ramadan is a musician best known as a member of the indie pop project Prom Queen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Leeni Ramadan Target entity description: Leeni Ramadan is a musician best known as a member of the indie pop project Prom Queen.
-
A.
Yasmine El Rashidi
Yasmine El Rashidi is an Egyptian writer and journalist known for her essays and reportage on contemporary Egyptian politics and society.
-
B.
Ruqaia Hasan
Ruqaia Hasan was a prominent linguist known for her work in systemic functional linguistics, discourse analysis, and the social semiotic study of language.
-
C.
Naima Akef
Naima Akef was a renowned Egyptian belly dancer, actress, and singer who rose to fame in the 1940s and 1950s as one of the leading stars of Egyptian musical cinema.
-
D.
Haya Harareet
Haya Harareet was an Israeli actress best known for her role as Esther opposite Charlton Heston in the 1959 epic film "Ben-Hur."
-
E.
Sherine Khalil
Sherine Khalil is a person whose given name is associated with the entity Athena.
- 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_69e25d1effe4819096907f95f610dbff |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f197eb6cd481908acd5619b3af246d |
completed | April 29, 2026, 5:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c5dc68d7081908cbb91d6dce3aa98 |
completed | May 19, 2026, 12:55 p.m. |
| NEDg | Description generation | batch_6a0c5f0188388190a76923ea497f1b04 |
completed | May 19, 2026, 1 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c5fd0c4e88190901c08e6c969e7ac |
completed | May 19, 2026, 1:04 p.m. |
Created at: April 17, 2026, 5:13 p.m.