Triple
T35303634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vincent Nichols |
E1019574
|
entity |
| Predicate | dateOfInstallationAsArchbishopOfWestminster |
P129890
|
FINISHED |
| Object | 2009-05-21 |
—
|
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: 2009-05-21 | Statement: [Vincent Nichols, dateOfInstallationAsArchbishopOfWestminster, 2009-05-21]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateOfInstallationAsArchbishopOfWestminster Context triple: [Vincent Nichols, dateOfInstallationAsArchbishopOfWestminster, 2009-05-21]
-
A.
startTimeAsArchbishopOfWestminster
chosen
Indicates the date and time at which an individual began serving as Archbishop of Westminster.
-
B.
appointedAsArchbishopOfWestminsterBy
Indicates that one entity formally selected and installed another entity into the position of Archbishop of Westminster.
-
C.
appointedAsArchbishopOfWestminster
Indicates that a person has been formally appointed to hold the office of Archbishop of Westminster.
-
D.
endTimeAsArchbishopOfWestminster
Indicates the point in time at which an individual’s tenure as Archbishop of Westminster comes to an end.
-
E.
startTimeAsArchbishopOfCanterbury
Indicates the date and time when an individual began serving as Archbishop of Canterbury.
- 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_69f76de8b4c48190ae504b86185c474c |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd6dbd1b648190b1a0b391c03aebc5 |
completed | May 8, 2026, 4:59 a.m. |
| PD | Predicate disambiguation | batch_69fd6a9020548190bbfa845360ac85fb |
completed | May 8, 2026, 4:46 a.m. |
Created at: May 3, 2026, 4:03 p.m.