Triple
T35142740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alice Knight Buffay |
E1014738
|
entity |
| Predicate | ageDifferenceWithSpouse |
P47587
|
FINISHED |
| Object | significantly older than Frank Buffay Jr. |
—
|
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: significantly older than Frank Buffay Jr. | Statement: [Alice Knight Buffay, ageDifferenceWithSpouse, significantly older than Frank Buffay Jr.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageDifferenceWithSpouse Context triple: [Alice Knight Buffay, ageDifferenceWithSpouse, significantly older than Frank Buffay Jr.]
-
A.
spouseAgeDifference
chosen
Indicates the age gap between two individuals who are spouses in a marital relationship.
-
B.
marriageDuration
Indicates the length of time that a marriage relationship has existed between two spouses.
-
C.
spouseOfSince
Indicates that two individuals are spouses and specifies the date or time from which their marital relationship has been in effect.
-
D.
marriagePeriodRelative
Indicates the time span of a marriage expressed relative to some reference point or period rather than as absolute dates.
-
E.
metSpouseAt
Indicates that one person first encountered or became acquainted with their spouse at a particular place, event, or time.
- F. None of above.
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_69f76dda7c108190a2ffd93eb6c341a7 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78cab90cc8190827145ac515d203b |
completed | May 3, 2026, 5:58 p.m. |
| PD | Predicate disambiguation | batch_69f78b9106008190930b3b3675b737d6 |
completed | May 3, 2026, 5:53 p.m. |
Created at: May 3, 2026, 4:02 p.m.