Triple
T7832986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cardinal of Lorraine |
E181619
|
entity |
| Predicate | startTimeAsBishopOfMetz |
P49404
|
FINISHED |
| Object | 1550 |
—
|
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: 1550 | Statement: [Cardinal of Lorraine, startTimeAsBishopOfMetz, 1550]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeAsBishopOfMetz Context triple: [Cardinal of Lorraine, startTimeAsBishopOfMetz, 1550]
-
A.
startTimeAsArchbishopOfMilan
Indicates the date and time when an individual began serving as Archbishop of Milan.
-
B.
startTimeAsBishopOfAlbany
Indicates the date and time when an individual began serving as the Bishop of Albany.
-
C.
startTimeAtBishopOfSpeyer
Indicates the time at which an entity begins serving in the role of Bishop of Speyer.
-
D.
startTimeAsBishopOfDaejeon
Indicates the date and time at which an individual began serving as the Bishop of Daejeon.
-
E.
startTimeOfEpiscopate
chosen
Indicates the date and time when a person's period of serving as a bishop (episcopate) begins.
- 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_69ca8284a25c8190a1a20afad30da792 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb0648bb308190a34fbcd81ff6fda2 |
completed | March 30, 2026, 11:24 p.m. |
| PD | Predicate disambiguation | batch_69cae91e98988190abd4ece75932c589 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:45 p.m.