Triple
T18431977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hind |
E450291
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Hind Sabri
Hind Sabri is a prominent Tunisian actress and lawyer best known for her acclaimed film and television roles in the Arab world.
|
E1325757
|
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: Hind Sabri | Statement: [Hind, hasNotableBearer, Hind Sabri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hind Sabri Context triple: [Hind, hasNotableBearer, Hind Sabri]
-
A.
Nazli Sabri
Nazli Sabri was the Queen consort of Egypt and Sudan as the wife of King Fuad I and the mother of King Farouk I.
-
B.
Sahel Selim
Sahel Selim is a city in Egypt’s Asyut Governorate, situated along the Nile in Upper Egypt and serving as a local administrative and commercial center.
-
C.
Fathiya al-Najjar
Fathiya al-Najjar is known as the wife of the late Hamas co-founder and leader Abdel Aziz al-Rantisi.
-
D.
Marʿi al-Karmi
Marʿi al-Karmi was a prominent 17th-century Palestinian Hanbali jurist and theologian known for his influential works in Islamic law and creed.
-
E.
Salma Abu Deif
Salma Abu Deif is an Egyptian actress and model known for her roles in contemporary Arabic television series and films.
- 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: Hind Sabri Triple: [Hind, hasNotableBearer, Hind Sabri]
Generated description
Hind Sabri is a prominent Tunisian actress and lawyer best known for her acclaimed film and television roles in the Arab world.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hind Sabri Target entity description: Hind Sabri is a prominent Tunisian actress and lawyer best known for her acclaimed film and television roles in the Arab world.
-
A.
Nazli Sabri
Nazli Sabri was the Queen consort of Egypt and Sudan as the wife of King Fuad I and the mother of King Farouk I.
-
B.
Sahel Selim
Sahel Selim is a city in Egypt’s Asyut Governorate, situated along the Nile in Upper Egypt and serving as a local administrative and commercial center.
-
C.
Fathiya al-Najjar
Fathiya al-Najjar is known as the wife of the late Hamas co-founder and leader Abdel Aziz al-Rantisi.
-
D.
Marʿi al-Karmi
Marʿi al-Karmi was a prominent 17th-century Palestinian Hanbali jurist and theologian known for his influential works in Islamic law and creed.
-
E.
Salma Abu Deif
Salma Abu Deif is an Egyptian actress and model known for her roles in contemporary Arabic television series and films.
- 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_69d8d381d6388190a9e94e9c658174e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e51b1771788190b26afdf65e9de502 |
completed | April 19, 2026, 6:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a040fd930f48190964028216a09e56d |
completed | May 13, 2026, 5:44 a.m. |
| NEDg | Description generation | batch_6a043a81cd58819089df50804870952e |
completed | May 13, 2026, 8:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a043c0580048190afd9fe46e6863918 |
completed | May 13, 2026, 8:53 a.m. |
Created at: April 10, 2026, 11:26 a.m.