Triple
T17005068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roth IRA |
E412548
|
entity |
| Predicate | RMDsDuringOwnerLifetime |
P126143
|
FINISHED |
| Object | not required |
—
|
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: not required | Statement: [Roth IRA, RMDsDuringOwnerLifetime, not required]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: RMDsDuringOwnerLifetime Context triple: [Roth IRA, RMDsDuringOwnerLifetime, not required]
-
A.
maximumLifetimeBenefit
Indicates the greatest total amount of benefit that can be received over the entire duration of eligibility or coverage.
-
B.
hasDelayedRetirementCreditAgeLimit
Indicates the maximum age up to which delayed retirement credits can be accrued or applied.
-
C.
retirementPeriod
Indicates the time span during which an entity is considered to be retired or in retirement status.
-
D.
hasMeanLifetime
Indicates the characteristic average time duration for which an entity, state, or condition persists before it decays, ends, or changes.
-
E.
subjectLifespanEnd
Indicates the point in time or event at which the subject’s life comes to an end.
- 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_69d886cb581c8190ab05f4b429c9cd85 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d382400c819092ec0ca0de815888 |
completed | April 18, 2026, 6:54 p.m. |
| PD | Predicate disambiguation | batch_69e35d552bc08190af17ef7659e094ef |
completed | April 18, 2026, 10:30 a.m. |
| PDg | Predicate description generation | batch_69e378e037c88190935d732e0f10d5d7 |
completed | April 18, 2026, 12:28 p.m. |
Created at: April 10, 2026, 5:32 a.m.