Triple
T3274601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Cardinal McCloskey |
E68728
|
entity |
| Predicate | startTimeAsArchbishopOfNewYork |
P47040
|
FINISHED |
| Object | 1864 |
—
|
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: 1864 | Statement: [John Cardinal McCloskey, startTimeAsArchbishopOfNewYork, 1864]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeAsArchbishopOfNewYork Context triple: [John Cardinal McCloskey, startTimeAsArchbishopOfNewYork, 1864]
-
A.
appointedAsArchbishopOfNewYorkOn
Indicates that a person was formally appointed to the position of Archbishop of New York on a specific date.
-
B.
startTimeAsArchbishopOfMilan
Indicates the date and time when an individual began serving as Archbishop of Milan.
-
C.
startTimeAsArchbishopOfCanterbury
Indicates the date and time when an individual began serving as Archbishop of Canterbury.
-
D.
currentArchbishopStartYear
Indicates the calendar year in which the current archbishop began serving in that role.
-
E.
startTimeOfPosition Archbishop of Baltimore
Indicates the time at which an individual began serving in the position of Archbishop of Baltimore.
- 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_69ad859b54f881909bf530d549caf2fd |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adaff8a440819092509bc8511b2785 |
completed | March 8, 2026, 5:20 p.m. |
| PD | Predicate disambiguation | batch_69ada420167c81909b6e2702db296d9e |
completed | March 8, 2026, 4:30 p.m. |
| PDg | Predicate description generation | batch_69ada525bb2c8190b773efe6d696b6ab |
completed | March 8, 2026, 4:34 p.m. |
Created at: March 8, 2026, 3:10 p.m.