Triple
T12830194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frances Ford Seymour |
E306761
|
entity |
| Predicate | marriageToGeorgeTuttleBrokawEnd |
P107124
|
FINISHED |
| Object | 1935 |
—
|
LITERAL 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: 1935 | Statement: [Frances Ford Seymour, marriageToGeorgeTuttleBrokawEnd, 1935]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriageToGeorgeTuttleBrokawEnd Context triple: [Frances Ford Seymour, marriageToGeorgeTuttleBrokawEnd, 1935]
-
A.
endCauseOfMarriageWith George C. Marshall
Indicates that the subject is the cause or reason for the termination or dissolution of a marriage involving George C. Marshall.
-
B.
endTimeOfMarriageWith George C. Marshall
Indicates the specific time at which a marriage to George C. Marshall ended.
-
C.
startTimeOfMarriageWith George C. Marshall
Indicates the date and time at which a marriage involving George C. Marshall began.
-
D.
marriedToAFormerFirstLadyOfTheUnitedStates
Indicates that a person is or was married to someone who previously held the role of First Lady of the United States.
-
E.
marriedToDuringOffice
Indicates that one person was married to another person specifically during the time they held a particular office or position.
- F. None of above. chosen
Provenance (4 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_69d7bdf52b94819096d6f0ba4ab50a98 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9714208f881908f7f8a921362909a |
completed | April 10, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69d96fa08cd481909a946046ba63809f |
completed | April 10, 2026, 9:46 p.m. |
| PDg | Predicate description generation | batch_69d9713e45a88190acd346f066093550 |
completed | April 10, 2026, 9:53 p.m. |
Created at: April 9, 2026, 5:34 p.m.