Triple
T33546086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anthony Cardinal Bevilacqua |
E859209
|
entity |
| Predicate | startTimeAsBishopOfPittsburgh |
P200992
|
FINISHED |
| Object | 1983 |
—
|
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: 1983 | Statement: [Anthony Cardinal Bevilacqua, startTimeAsBishopOfPittsburgh, 1983]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeAsBishopOfPittsburgh Context triple: [Anthony Cardinal Bevilacqua, startTimeAsBishopOfPittsburgh, 1983]
-
A.
endTimeAsBishopOfPittsburgh
Indicates the date and time at which an individual’s tenure as Bishop of Pittsburgh concludes.
-
B.
startTimeAsArchbishopOfPhiladelphia
Indicates the date and time when an individual began serving as Archbishop of Philadelphia.
-
C.
startTimeAsBishopOfCleveland
Indicates the date and time when an individual began serving in the role of Bishop of Cleveland.
-
D.
startTimeAsBishopOfFortWorth
Indicates the date and time when an individual began serving as the Bishop of Fort Worth.
-
E.
startTimeAsBishopOfSiouxFalls
Indicates the date and time when an individual began serving as the bishop of Sioux Falls.
- 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_69f3497a5be08190a39b12736899e034 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ffc083a54c8190ac80d05ee8d20a6b |
completed | May 9, 2026, 11:17 p.m. |
| PD | Predicate disambiguation | batch_69ffbfeb05b88190b4d50ce8124004d9 |
completed | May 9, 2026, 11:14 p.m. |
| PDg | Predicate description generation | batch_69ffc082a4e881908a92313d2c755afe |
completed | May 9, 2026, 11:17 p.m. |
Created at: May 1, 2026, 1:39 a.m.