Triple
T9626101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nixon family |
E232468
|
entity |
| Predicate | notableMember |
P10
|
FINISHED |
| Object | Donald Nixon |
E677116
|
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: Donald Nixon | Statement: [Nixon family, notableMember, Donald Nixon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Donald Nixon Context triple: [Nixon family, notableMember, Donald Nixon]
-
A.
Donald Nixon
chosen
Donald Nixon was an American businessman best known as the younger brother of U.S. President Richard Nixon, whose financial dealings occasionally drew public scrutiny during his brother’s political career.
-
B.
Arthur Nixon
Arthur Nixon is the son of Hannah Nixon, a member of the Nixon family best known for producing U.S. President Richard Nixon.
-
C.
Edward Nixon
Edward Nixon was the youngest brother of U.S. President Richard Nixon, known for his work as a geologist and author.
-
D.
Robert Nixon
Robert Nixon was the husband of renowned American television writer and producer Agnes Nixon, known for her influential work in daytime soap operas.
-
E.
David Hayes Agnew
David Hayes Agnew was a prominent 19th-century American surgeon and medical educator renowned for his contributions to surgical practice and teaching at the University of Pennsylvania.
- 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_69ca848793ec8190a93a12383a754dc0 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9afc9144819084b208c3d04174ba |
completed | April 1, 2026, 10:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d182291c34819099f3f43769849c5d |
completed | April 4, 2026, 9:27 p.m. |
Created at: March 30, 2026, 8:10 p.m.