Triple
T17684050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anna Roosevelt Dall |
E440842
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | John Boettiger |
—
|
NE NERFINISHED |
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: John Boettiger | Statement: [Anna Roosevelt Dall, spouse, John Boettiger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Boettiger Context triple: [Anna Roosevelt Dall, spouse, John Boettiger]
-
A.
John Boettiger
chosen
John Boettiger was an American journalist and newspaper publisher best known as the second husband of Anna Roosevelt, daughter of President Franklin D. Roosevelt.
-
B.
John Eisendrath
John Eisendrath is a television writer and producer best known for his work on series such as "The Blacklist" and "Alias."
-
C.
Martin J. Hillenbrand
Martin J. Hillenbrand was an American career diplomat who held several key Cold War-era posts, including serving as U.S. Ambassador to Hungary and later to the Federal Republic of Germany.
-
D.
Brian Borchers
Brian Borchers is an American mathematician known for his work in optimization and operations research.
-
E.
Michael T. Sauer
Michael T. Sauer was an American judge best known for presiding over high-profile criminal cases in Los Angeles County.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9e940b081908b862bb0e6e89b0d |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4704626308190bbdd98d27beb3f24 |
completed | April 19, 2026, 6:03 a.m. |
Created at: April 10, 2026, 10:02 a.m.