Triple
T13882776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marni Nixon |
E333758
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Nixon |
E156367
|
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: Nixon | Statement: [Marni Nixon, familyName, Nixon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nixon Context triple: [Marni Nixon, familyName, Nixon]
-
A.
Nixon
chosen
Nixon is a small unincorporated community and census-designated place in Nevada that serves as the headquarters of the Pyramid Lake Paiute Tribe.
-
B.
Richard Nixon
Richard Nixon was the 37th president of the United States, known for his foreign policy achievements such as opening relations with China and for resigning from office amid the Watergate scandal.
-
C.
Gerald Ford
Gerald Ford was the 38th president of the United States, known for assuming the presidency after Richard Nixon’s resignation and issuing a controversial pardon for his predecessor.
-
D.
Gerald J. Ford
Gerald J. Ford is an American billionaire banker and businessman known for his lucrative investments in and restructuring of underperforming financial institutions.
-
E.
Agnew
Agnew is a surname of Scottish origin borne by various notable individuals in politics, science, and the arts.
- 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_69d81c5dd2d48190b7a5fc1e009de936 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0bea4d248190bcbcea9ea875c5f9 |
completed | April 14, 2026, 9:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c71419b481908a3ef80abec1bf23 |
completed | May 3, 2026, 10:07 p.m. |
Created at: April 9, 2026, 10:15 p.m.