Triple
T29586100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | François-Marie-Benjamin Richard |
E754023
|
entity |
| Predicate | appointedAsArchbishopOfParis |
P92918
|
FINISHED |
| Object | 1886 |
—
|
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: 1886 | Statement: [François-Marie-Benjamin Richard, appointedAsArchbishopOfParis, 1886]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appointedAsArchbishopOfParis Context triple: [François-Marie-Benjamin Richard, appointedAsArchbishopOfParis, 1886]
-
A.
appointedAsArchbishop
chosen
Indicates that an authority formally assigned a person to hold the office or role of an archbishop.
-
B.
enthronedAsMajorArchbishopOn
Indicates that someone was formally installed in office with the rank and authority of a Major Archbishop on a specific date or occasion.
-
C.
appointedAsPrinceArchbishop
Indicates that an authority formally assigns a person to hold the office and role of Prince-Archbishop.
-
D.
archbishopOf
Indicates that a person holds the ecclesiastical office of archbishop in relation to a specific diocese, region, or church jurisdiction.
-
E.
appointedAsArchbishopOfWestminster
Indicates that a person has been formally appointed to hold the office of Archbishop of Westminster.
- 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_69f0ef836ac88190bd809dc58b5ec907 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69f75dc25fa08190b371faf36d9fb72c |
completed | May 3, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69f758586534819083e91172f4bf5098 |
completed | May 3, 2026, 2:14 p.m. |
Created at: April 28, 2026, 6:10 p.m.