Triple
T3648493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louis Jolliet |
E77359
|
entity |
| Predicate | religiousTraining |
P20637
|
FINISHED |
| Object | Jesuit novice (did not take final vows) |
—
|
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: Jesuit novice (did not take final vows) | Statement: [Louis Jolliet, religiousTraining, Jesuit novice (did not take final vows)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religiousTraining Context triple: [Louis Jolliet, religiousTraining, Jesuit novice (did not take final vows)]
-
A.
clergyEducation
chosen
Indicates that one entity has received formal religious or theological training or education qualifying them for clergy or ministerial roles in relation to another entity or institution.
-
B.
religiousFunction
Indicates that one entity serves a religious role, purpose, or function in relation to another entity.
-
C.
religiousActivity
Indicates participation in, performance of, or association with practices, rituals, or behaviors related to a religion or faith tradition.
-
D.
religiousLeadershipStart
Indicates the point in time when an entity begins serving in a religious leadership role or office.
-
E.
religiousTopicAddressed
Indicates that a subject deals with, discusses, or focuses on a religious theme, issue, or question.
- 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_69ad85de1b988190a45f8dbfebc806fc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc38c22548190a271a69fb832a5a8 |
completed | March 8, 2026, 6:44 p.m. |
| PD | Predicate disambiguation | batch_69adb8445b2c8190ab07f6ad4e010d0e |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:24 p.m.