Triple
T6823878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nane Maria Annan |
E156965
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Nane
Nane is a Swedish lawyer and artist best known as the widow of former United Nations Secretary-General Kofi Annan.
|
E622287
|
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: Nane | Statement: [Nane Maria Annan, givenName, Nane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nane Context triple: [Nane Maria Annan, givenName, Nane]
-
A.
Nenê
Nenê is a Brazilian professional basketball player and longtime NBA center known for his physical interior play and key contributions to both the Denver Nuggets and Washington Wizards.
-
B.
Nan
Nan is a spirited, independent young woman in Louisa May Alcott’s novel "Jo’s Boys," known for challenging traditional gender roles and pursuing a medical career.
-
C.
Nande
The Nande are a Bantu-speaking ethnic group primarily inhabiting the mountainous regions of North Kivu in the eastern Democratic Republic of the Congo, known for their farming, trade, and distinct cultural traditions.
-
D.
Nene
Nene was the principal wife of Japanese warlord Toyotomi Hideyoshi and a politically influential noblewoman during the late Sengoku period.
-
E.
Nena
Nena is a German pop singer and actress best known internationally for her 1983 hit song "99 Luftballons."
- 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: Nane Triple: [Nane Maria Annan, givenName, Nane]
Generated description
Nane is a Swedish lawyer and artist best known as the widow of former United Nations Secretary-General Kofi Annan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nane Target entity description: Nane is a Swedish lawyer and artist best known as the widow of former United Nations Secretary-General Kofi Annan.
-
A.
Nenê
Nenê is a Brazilian professional basketball player and longtime NBA center known for his physical interior play and key contributions to both the Denver Nuggets and Washington Wizards.
-
B.
Nan
Nan is a spirited, independent young woman in Louisa May Alcott’s novel "Jo’s Boys," known for challenging traditional gender roles and pursuing a medical career.
-
C.
Nande
The Nande are a Bantu-speaking ethnic group primarily inhabiting the mountainous regions of North Kivu in the eastern Democratic Republic of the Congo, known for their farming, trade, and distinct cultural traditions.
-
D.
Nene
Nene was the principal wife of Japanese warlord Toyotomi Hideyoshi and a politically influential noblewoman during the late Sengoku period.
-
E.
Nena
Nena is a German pop singer and actress best known internationally for her 1983 hit song "99 Luftballons."
- 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_69c688298a288190af3f285d57f76bbe |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d580ca448190aa6d52908ca50e39 |
completed | March 27, 2026, 7:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c723ee0e94819095a678e1073869d5 |
completed | March 28, 2026, 12:42 a.m. |
| NEDg | Description generation | batch_69c7254674008190972b4f8619b28776 |
completed | March 28, 2026, 12:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c725be2ad881908e97017baabbd854 |
completed | March 28, 2026, 12:50 a.m. |
Created at: March 27, 2026, 2:18 p.m.