Triple
T33485867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Cardinal Krol |
E857608
|
entity |
| Predicate | startTimeForPreviousPost |
P100319
|
FINISHED |
| Object | 1953 |
—
|
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: 1953 | Statement: [John Cardinal Krol, startTimeForPreviousPost, 1953]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeForPreviousPost Context triple: [John Cardinal Krol, startTimeForPreviousPost, 1953]
-
A.
previousPostEndDate
chosen
Indicates the date on which the immediately preceding post, position, or assignment ended.
-
B.
previousPost
Indicates that one post directly precedes another in a sequence or ordered list of posts.
-
C.
timePeriodAfter
Indicates that one time period occurs entirely later than another time period in a temporal sequence.
-
D.
previousLocationTime
Indicates the specific time at which an entity was located at its immediately preceding location before its current one.
-
E.
previousPeriod
Indicates that one time period directly precedes another in a sequence of periods.
- 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_69f3497547608190a1a0f2365fb713ee |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ffbe9e47688190a2692566dc326646 |
completed | May 9, 2026, 11:09 p.m. |
| PD | Predicate disambiguation | batch_69ffbb7b45388190b62cbde5c2d435cd |
completed | May 9, 2026, 10:55 p.m. |
Created at: May 1, 2026, 1:38 a.m.