Triple
T8055945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melanija |
E187999
|
entity |
| Predicate | equivalentForm |
P6530
|
FINISHED |
| Object | Melania |
E5266
|
NE FINISHED |
How this triple was built (2 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: Melania | Statement: [Melanija, equivalentForm, Melania]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Melania Context triple: [Melanija, equivalentForm, Melania]
-
A.
Melania Trump
chosen
Melania Trump is a Slovenian-American former fashion model who served as First Lady of the United States from 2017 to 2021.
-
B.
Jill Biden
Jill Biden is an American educator and the First Lady of the United States, known for her long career in teaching and her advocacy for military families, community colleges, and cancer research.
-
C.
Melania Knauss
Melania Knauss is a Slovenian-American former fashion model best known as the wife of Donald Trump and former First Lady of the United States.
-
D.
Naomi Biden
Naomi Biden is an American lawyer and the granddaughter of U.S. President Joe Biden, known for her public presence during his political career and at White House events.
-
E.
Vanessa Trump
Vanessa Trump is an American former model and ex-wife of Donald Trump Jr., known for her connection to the Trump family.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca82b2f68881908c50560697e210da |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3fa26fb88190b6799bddeb68ed78 |
completed | March 31, 2026, 3:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc63d2d5008190b768e7a8b910e460 |
completed | April 1, 2026, 12:16 a.m. |
Created at: March 30, 2026, 5:25 p.m.