Triple
T2722178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael von Faulhaber |
E60105
|
entity |
| Predicate | startTimeAtBishopOfSpeyer |
P41868
|
FINISHED |
| Object | 1911 |
—
|
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: 1911 | Statement: [Michael von Faulhaber, startTimeAtBishopOfSpeyer, 1911]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeAtBishopOfSpeyer Context triple: [Michael von Faulhaber, startTimeAtBishopOfSpeyer, 1911]
-
A.
startTimeAsArchbishopOfMilan
Indicates the date and time when an individual began serving as Archbishop of Milan.
-
B.
startTimeAsArchbishopOfCanterbury
Indicates the date and time when an individual began serving as Archbishop of Canterbury.
-
C.
startTimeAsElectorOfBavaria
Indicates the point in time when an entity began holding the position or role of Elector of Bavaria.
-
D.
currentArchbishopStartYear
Indicates the calendar year in which the current archbishop began serving in that role.
-
E.
endTimeAsArchbishopOfMilan
Indicates the date and time when a person’s tenure as Archbishop of Milan 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_69ab4b746d248190958e052045c09255 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdab2f36c8190aa0b452e57525fe0 |
completed | March 7, 2026, 7:58 a.m. |
| PD | Predicate disambiguation | batch_69abd82586f88190a98f60d3247fe2d3 |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd949c120819099a9d56eb71a0339 |
completed | March 7, 2026, 7:52 a.m. |
Created at: March 6, 2026, 9:55 p.m.