Triple
T7314489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tusun Pasha |
E168174
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Tusun
Tusun was an Ottoman Egyptian prince, the son of Muhammad Ali Pasha, who played a notable role in early 19th-century military campaigns in the Arabian Peninsula.
|
E655636
|
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: Tusun | Statement: [Tusun Pasha, givenName, Tusun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tusun Context triple: [Tusun Pasha, givenName, Tusun]
-
A.
Mansouriya
Mansouriya is a residential district in Kuwait City known for its central location within the Al Asimah Governorate.
-
B.
Ain Sokhna
Ain Sokhna is a popular Egyptian Red Sea resort town known for its beaches, proximity to Cairo, and role as a growing industrial and port area.
-
C.
Faras
Faras was an important ancient city in Nubia, known especially for its Christian-era cathedral and remarkable wall paintings discovered during archaeological excavations.
-
D.
Shawar
Shawar was a 12th-century vizier of the Fatimid Caliphate in Egypt, known for his turbulent rule and role in the conflicts that devastated Fustat.
-
E.
Kaloum
Kaloum is the central urban commune of Conakry, Guinea, encompassing the city’s historic core, main government institutions, and port area.
- 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: Tusun Triple: [Tusun Pasha, givenName, Tusun]
Generated description
Tusun was an Ottoman Egyptian prince, the son of Muhammad Ali Pasha, who played a notable role in early 19th-century military campaigns in the Arabian Peninsula.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tusun Target entity description: Tusun was an Ottoman Egyptian prince, the son of Muhammad Ali Pasha, who played a notable role in early 19th-century military campaigns in the Arabian Peninsula.
-
A.
Mansouriya
Mansouriya is a residential district in Kuwait City known for its central location within the Al Asimah Governorate.
-
B.
Ain Sokhna
Ain Sokhna is a popular Egyptian Red Sea resort town known for its beaches, proximity to Cairo, and role as a growing industrial and port area.
-
C.
Faras
Faras was an important ancient city in Nubia, known especially for its Christian-era cathedral and remarkable wall paintings discovered during archaeological excavations.
-
D.
Shawar
Shawar was a 12th-century vizier of the Fatimid Caliphate in Egypt, known for his turbulent rule and role in the conflicts that devastated Fustat.
-
E.
Kaloum
Kaloum is the central urban commune of Conakry, Guinea, encompassing the city’s historic core, main government institutions, and port area.
- 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_69c6888d8e3c81909db79714903baf31 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6ec03a7248190beb1dec612725e5b |
completed | March 27, 2026, 8:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7e56f4aa0819096d955e2ce298299 |
completed | March 28, 2026, 2:27 p.m. |
| NEDg | Description generation | batch_69c7e6bf79d48190a7c30e3513e12070 |
completed | March 28, 2026, 2:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7e78b09488190a361bdd50bd28b71 |
completed | March 28, 2026, 2:36 p.m. |
Created at: March 27, 2026, 3:02 p.m.