Triple
T1916283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jill Biden |
E40024
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jill Biden |
E40024
|
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: Jill Biden | Statement: [Jill Biden, name, Jill Biden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jill Biden Context triple: [Jill Biden, name, Jill Biden]
-
A.
Jill Biden
chosen
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.
-
B.
Neilia Hunter Biden
Neilia Hunter Biden was an American educator and the first wife of Joe Biden, who tragically died in a 1972 car accident along with their infant daughter.
-
C.
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.
-
D.
Melania Trump
Melania Trump is a Slovenian-American former fashion model who served as First Lady of the United States from 2017 to 2021.
-
E.
Michelle Obama
Michelle Obama is an American lawyer, author, and former First Lady of the United States known for her advocacy on education, health, and military families.
- 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_69a8864298748190a2f2fd34f7ef8d77 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb20f54848190b9457e1231aa49db |
completed | March 7, 2026, 5:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adf3da81308190a49844a8ac2997da |
completed | March 8, 2026, 10:10 p.m. |
Created at: March 4, 2026, 7:35 p.m.