Triple
T14245037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hassan Gouled Aptidon |
E353109
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Aptidon
Aptidon is the surname of Hassan Gouled Aptidon, the first president of the Republic of Djibouti.
|
E1087373
|
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: Aptidon | Statement: [Hassan Gouled Aptidon, familyName, Aptidon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aptidon Context triple: [Hassan Gouled Aptidon, familyName, Aptidon]
-
A.
Acurenam
Acurenam is a town located in the Centro Sur province of Equatorial Guinea.
-
B.
Namenda
Namenda is a prescription medication used to treat moderate to severe Alzheimer's disease by regulating the activity of glutamate in the brain.
-
C.
Toclafane
The Toclafane are a race of deadly, cybernetic spheres revealed to be the future remnants of humanity in the Doctor Who universe, serving as instruments of mass destruction under the Master.
-
D.
Bunefer
Bunefer was an ancient Egyptian queen of the late Fourth Dynasty, likely known from her tomb at Giza and associated with the royal family of that period.
-
E.
Daypro
Daypro is a prescription nonsteroidal anti-inflammatory drug (NSAID) containing oxaprozin, used to relieve pain and inflammation in conditions such as osteoarthritis and rheumatoid arthritis.
- 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: Aptidon Triple: [Hassan Gouled Aptidon, familyName, Aptidon]
Generated description
Aptidon is the surname of Hassan Gouled Aptidon, the first president of the Republic of Djibouti.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aptidon Target entity description: Aptidon is the surname of Hassan Gouled Aptidon, the first president of the Republic of Djibouti.
-
A.
Acurenam
Acurenam is a town located in the Centro Sur province of Equatorial Guinea.
-
B.
Namenda
Namenda is a prescription medication used to treat moderate to severe Alzheimer's disease by regulating the activity of glutamate in the brain.
-
C.
Toclafane
The Toclafane are a race of deadly, cybernetic spheres revealed to be the future remnants of humanity in the Doctor Who universe, serving as instruments of mass destruction under the Master.
-
D.
Bunefer
Bunefer was an ancient Egyptian queen of the late Fourth Dynasty, likely known from her tomb at Giza and associated with the royal family of that period.
-
E.
Daypro
Daypro is a prescription nonsteroidal anti-inflammatory drug (NSAID) containing oxaprozin, used to relieve pain and inflammation in conditions such as osteoarthritis and rheumatoid arthritis.
- 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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6245d6a481909ef665748cd4d64c |
completed | April 14, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd282571ec819080d187ecec3ed925 |
completed | May 8, 2026, 12:02 a.m. |
| NEDg | Description generation | batch_69fd2a9da52481909f580eb0df3e1922 |
completed | May 8, 2026, 12:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd2b270c9c8190a573e53ca9af4e4b |
completed | May 8, 2026, 12:15 a.m. |
Created at: April 10, 2026, 1:08 a.m.