Triple
T35186046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ernie Bushmiller |
E1015985
|
entity |
| Predicate | startOfWorkOnFritziRitz |
P125053
|
FINISHED |
| Object | 1925 |
—
|
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: 1925 | Statement: [Ernie Bushmiller, startOfWorkOnFritziRitz, 1925]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startOfWorkOnFritziRitz Context triple: [Ernie Bushmiller, startOfWorkOnFritziRitz, 1925]
-
A.
startOfWork
chosen
Indicates the point in time or event at which a work activity, project, or task begins.
-
B.
startTime (Rector of Masaryk University)
Indicates the point in time at which a person began serving as Rector of Masaryk University.
-
C.
startTime (Ambassador to Austria)
Indicates the date and time at which a person began serving as Ambassador to Austria.
-
D.
timePeriodAlsoKnownAsTheRitz
Indicates that a given time period is alternatively referred to by the name "The Ritz."
-
E.
officeStartTime (Governing Mayor of West Berlin)
Indicates the date and time at which a person began serving as Governing Mayor of West Berlin.
- 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_69f76ddd815c8190b822eea06630f9fb |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a005d878aec81908e1177914a8fb610 |
completed | May 10, 2026, 10:27 a.m. |
| PD | Predicate disambiguation | batch_6a005c382f8881908ff33ebb7f88c430 |
completed | May 10, 2026, 10:21 a.m. |
Created at: May 3, 2026, 4:02 p.m.