Triple
T36381890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blessed Francis Xavier Seelos |
E896067
|
entity |
| Predicate | dateJoinedReligiousOrder |
P185180
|
FINISHED |
| Object | 1842 |
—
|
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: 1842 | Statement: [Blessed Francis Xavier Seelos, dateJoinedReligiousOrder, 1842]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateJoinedReligiousOrder Context triple: [Blessed Francis Xavier Seelos, dateJoinedReligiousOrder, 1842]
-
A.
introducedByReligiousOrder
Indicates that something (such as a practice, institution, or idea) was initiated, established, or brought into use by a religious order.
-
B.
enteredSocietyOfJesusAt
Indicates that a person joined or was admitted into the Society of Jesus (the Jesuit order) at a specific time or place.
-
C.
enteredConventAt
Indicates the point in time or age at which a person formally joined or was admitted into a convent.
-
D.
tookReligiousVowsOn
Indicates that an entity formally committed to religious vows on a specific date or occasion.
-
E.
electeeReligiousOrder
Indicates that an electee is affiliated with, or a member of, a specific religious order.
- 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_69f76e51d358819092bbc5f119f49476 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7bb3ff1b08190802b1063d55d3923 |
completed | May 3, 2026, 9:16 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a611a081908dd6aec1df3f4d7f |
completed | May 3, 2026, 9:09 p.m. |
| PDg | Predicate description generation | batch_69f7bb3f23f48190b0b9c2d667e09b52 |
completed | May 3, 2026, 9:16 p.m. |
Created at: May 3, 2026, 4:10 p.m.