Triple
T8802036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chloe Sophia Trump |
E209432
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Trump |
E52455
|
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: Trump | Statement: [Chloe Sophia Trump, familyName, Trump]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trump Context triple: [Chloe Sophia Trump, familyName, Trump]
-
A.
Trump
chosen
Trump is a prominent American surname most widely associated with businessman and former U.S. President Donald Trump and his family.
-
B.
Donald Trump
Donald Trump is an American businessman, television personality, and politician who served as the 45th president of the United States from 2017 to 2021.
-
C.
Trumps
"Trumps" is a 19th-century novel by American writer and reformer George William Curtis, known for its social commentary and depiction of New York society.
-
D.
Clinton
Clinton is a small New England town in Worcester County, Massachusetts, known historically for its textile mills and the nearby Wachusett Reservoir.
-
E.
Clinton
Clinton, also known as Hell's Kitchen, is a vibrant New York City neighborhood on Manhattan’s West Side known for its diverse dining, Off-Broadway theaters, and proximity to Midtown.
- 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_69ca836320e48190b5cf585b90a322c4 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5fb9c5c88190881b069e1face10c |
completed | March 31, 2026, 11:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfab60ee608190af9f4aba631b42ef |
completed | April 3, 2026, 11:58 a.m. |
Created at: March 30, 2026, 6:44 p.m.