Triple
T14584302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fathia Nkrumah |
E342273
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Fathia
Fathia was an Egyptian-born teacher and the First Lady of Ghana as the wife of its first president, Kwame Nkrumah.
|
E1108215
|
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: Fathia | Statement: [Fathia Nkrumah, givenName, Fathia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fathia Context triple: [Fathia Nkrumah, givenName, Fathia]
-
A.
Fatima
Fatima is a desert woman in Paulo Coelho’s novel "The Alchemist," symbolizing true love and spiritual devotion that supports the protagonist’s quest.
-
B.
Fatima
Fatima is a common female given name of Arabic origin, widely used in Muslim-majority cultures and historically associated with Fatimah, the daughter of the Prophet Muhammad.
-
C.
Fatima
Fatima is a renowned Portuguese pilgrimage town famous for reported Marian apparitions and its major Catholic sanctuary.
-
D.
Fatima
Fatima is a small community located on the Magdalen Islands in Quebec, Canada, known for its maritime setting and Acadian culture.
-
E.
Fahdah
Fahdah is a Saudi princess, formally known as Princess Fahdah Mohammed Abunayyan, associated with the Saudi royal family.
- 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: Fathia Triple: [Fathia Nkrumah, givenName, Fathia]
Generated description
Fathia was an Egyptian-born teacher and the First Lady of Ghana as the wife of its first president, Kwame Nkrumah.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fathia Target entity description: Fathia was an Egyptian-born teacher and the First Lady of Ghana as the wife of its first president, Kwame Nkrumah.
-
A.
Fatima
Fatima is a desert woman in Paulo Coelho’s novel "The Alchemist," symbolizing true love and spiritual devotion that supports the protagonist’s quest.
-
B.
Fatima
Fatima is a small community located on the Magdalen Islands in Quebec, Canada, known for its maritime setting and Acadian culture.
-
C.
Fatima
Fatima is a common female given name of Arabic origin, widely used in Muslim-majority cultures and historically associated with Fatimah, the daughter of the Prophet Muhammad.
-
D.
Fatima
Fatima is a renowned Portuguese pilgrimage town famous for reported Marian apparitions and its major Catholic sanctuary.
-
E.
Fahdah
Fahdah is a Saudi princess, formally known as Princess Fahdah Mohammed Abunayyan, associated with the Saudi royal family.
- 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_69d822ddc0f081909cd8163c7de298cd |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4209b988190ad2a7b2dead8ffed |
completed | April 14, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd94bbe6208190af9cd131c147e321 |
completed | May 8, 2026, 7:46 a.m. |
| NEDg | Description generation | batch_69fd984e0e6c819089d967234c5245ee |
completed | May 8, 2026, 8:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd98cf0bcc81909dac826a32daaf04 |
completed | May 8, 2026, 8:03 a.m. |
Created at: April 10, 2026, 1:24 a.m.