Triple
T26922758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Louis Bertrand |
E677692
|
entity |
| Predicate | dateOfJoiningReligiousOrder |
P27505
|
FINISHED |
| Object | 1544-08-26 |
—
|
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: 1544-08-26 | Statement: [Saint Louis Bertrand, dateOfJoiningReligiousOrder, 1544-08-26]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateOfJoiningReligiousOrder Context triple: [Saint Louis Bertrand, dateOfJoiningReligiousOrder, 1544-08-26]
-
A.
enteredSocietyOfJesusAt
Indicates that a person joined or was admitted into the Society of Jesus (the Jesuit order) at a specific time or place.
-
B.
enteredConventAt
Indicates the point in time or age at which a person formally joined or was admitted into a convent.
-
C.
tookReligiousVowsOn
chosen
Indicates that an entity formally committed to religious vows on a specific date or occasion.
-
D.
tookReligiousVows
Indicates that an entity formally committed to a religious life by taking recognized vows within a religious tradition.
-
E.
ordinationDateAsPriest
Indicates the date on which a person was formally ordained as a priest.
- 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_69eee9bdebc48190ba90a12a63e09c73 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f69383222c81909d8baa04129d5c81 |
completed | May 3, 2026, 12:14 a.m. |
| PD | Predicate disambiguation | batch_69f690eb1e948190aab41a89969519a5 |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 27, 2026, 6:08 a.m.