Triple
T1667103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melanija Knavs |
E36036
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Melanija
Melanija is the Slovene given name of Melania Trump, the former First Lady of the United States and wife of Donald Trump.
|
E187999
|
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: Melanija | Statement: [Melanija Knavs, givenName, Melanija]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Melanija Context triple: [Melanija Knavs, givenName, Melanija]
-
A.
Marija
Marija is a feminine given name commonly used in Slavic and other European cultures, equivalent to "Maria" or "Mary."
-
B.
Mila
Mila is a leading artificial intelligence research institute based in Quebec, renowned for its work in deep learning and machine learning.
-
C.
Dina
Dina is a feminine given name used in various cultures, often as a variant of names like Dinah or Edina.
-
D.
Mella
Mella is a Spanish-language surname most notably associated with Cuban revolutionary leader Julio Antonio Mella.
-
E.
Malia
Malia is an important Minoan Bronze Age palace complex and archaeological site on the northern coast of Crete.
- 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: Melanija Triple: [Melanija Knavs, givenName, Melanija]
Generated description
Melanija is the Slovene given name of Melania Trump, the former First Lady of the United States and wife of Donald Trump.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Melanija Target entity description: Melanija is the Slovene given name of Melania Trump, the former First Lady of the United States and wife of Donald Trump.
-
A.
Marija
Marija is a feminine given name commonly used in Slavic and other European cultures, equivalent to "Maria" or "Mary."
-
B.
Mila
Mila is a leading artificial intelligence research institute based in Quebec, renowned for its work in deep learning and machine learning.
-
C.
Dina
Dina is a feminine given name used in various cultures, often as a variant of names like Dinah or Edina.
-
D.
Mella
Mella is a Spanish-language surname most notably associated with Cuban revolutionary leader Julio Antonio Mella.
-
E.
Malia
Malia is the elder daughter of former U.S. President Barack Obama and former First Lady Michelle Obama.
- 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_69a8861286808190939afff3ce8ee31e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90adc57cc8190b270004c363768e3 |
completed | March 5, 2026, 4:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad683207b08190a86c266aaece4e98 |
completed | March 8, 2026, 12:14 p.m. |
| NEDg | Description generation | batch_69ad692a4078819080c3a89166917081 |
completed | March 8, 2026, 12:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad698929f88190af97fc915d29a5b5 |
completed | March 8, 2026, 12:20 p.m. |
Created at: March 4, 2026, 7:29 p.m.