Triple
T17223024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mehdi Jomaa |
E418035
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Jomaa
Jomaa is a Tunisian surname most notably associated with Mehdi Jomaa, a former Prime Minister of Tunisia.
|
E1257764
|
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: Jomaa | Statement: [Mehdi Jomaa, familyName, Jomaa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jomaa Context triple: [Mehdi Jomaa, familyName, Jomaa]
-
A.
Jakmèl
Jakmèl is the Haitian Creole name for Jacmel, a historic coastal city in southern Haiti known for its vibrant arts scene, colonial architecture, and annual Carnival celebrations.
-
B.
Jümme
Jümme is a small river in Lower Saxony, Germany, known for flowing through the Leer district and contributing to the region’s network of waterways and wetlands.
-
C.
Hajna
Hajna is a feminine given name, notably borne by American actress and producer Hajna O. Moss.
-
D.
Jogne
Jogne is a river in western Switzerland that flows through the canton of Fribourg before joining the Sarine.
-
E.
Jaru
Jaru is a municipality in the Brazilian state of Rondônia, located in the northern region of the country within the Amazon basin.
- 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: Jomaa Triple: [Mehdi Jomaa, familyName, Jomaa]
Generated description
Jomaa is a Tunisian surname most notably associated with Mehdi Jomaa, a former Prime Minister of Tunisia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jomaa Target entity description: Jomaa is a Tunisian surname most notably associated with Mehdi Jomaa, a former Prime Minister of Tunisia.
-
A.
Jakmèl
Jakmèl is the Haitian Creole name for Jacmel, a historic coastal city in southern Haiti known for its vibrant arts scene, colonial architecture, and annual Carnival celebrations.
-
B.
Jümme
Jümme is a small river in Lower Saxony, Germany, known for flowing through the Leer district and contributing to the region’s network of waterways and wetlands.
-
C.
Hajna
Hajna is a feminine given name, notably borne by American actress and producer Hajna O. Moss.
-
D.
Jogne
Jogne is a river in western Switzerland that flows through the canton of Fribourg before joining the Sarine.
-
E.
Jaru
Jaru is a municipality in the Brazilian state of Rondônia, located in the northern region of the country within the Amazon basin.
- 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_69d886d779488190b131369541c04e7d |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42ddf2c3c8190b6adceaaefd4ccbf |
completed | April 19, 2026, 1:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0167596ab481909df59ce68c7f640e |
completed | May 11, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_6a0169f4d520819095774ce5ee2d2220 |
completed | May 11, 2026, 5:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a016a55114881909496549dfb7b6ff1 |
completed | May 11, 2026, 5:34 a.m. |
Created at: April 10, 2026, 5:38 a.m.