Triple
T2824872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ashley Biden |
E54895
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Ashley Biden |
E54895
|
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: Ashley Biden | Statement: [Ashley Biden, name, Ashley Biden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ashley Biden Context triple: [Ashley Biden, name, Ashley Biden]
-
A.
Ashley Biden
chosen
Ashley Biden is an American social worker, activist, and fashion designer known for her advocacy on criminal justice reform and her role as the daughter of U.S. President Joe Biden and educator Jill Biden.
-
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.
Hallie Biden
Hallie Biden is an American woman known for being the widow of Beau Biden, the late son of U.S. President Joe Biden.
-
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.
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.
- 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_69ab49e100c0819082a40cb797383243 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abde925e688190bb390d3182f8c4f0 |
completed | March 7, 2026, 8:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1eed270f881909f907890f5fac412 |
completed | March 11, 2026, 10:38 p.m. |
Created at: March 6, 2026, 9:59 p.m.