Triple
T19562904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marie Guyart |
E489499
|
entity |
| Predicate | yearEnteredReligiousLife |
P109429
|
FINISHED |
| Object | 1631 |
—
|
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: 1631 | Statement: [Marie Guyart, yearEnteredReligiousLife, 1631]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearEnteredReligiousLife Context triple: [Marie Guyart, yearEnteredReligiousLife, 1631]
-
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
chosen
Indicates the point in time or age at which a person formally joined or was admitted into a convent.
-
C.
tookReligiousVowsOn
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.
yearOfReceptionIntoCatholicChurch
Indicates the calendar year in which an entity was formally received into the Catholic Church.
- 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63f74fdb08190852461b5d5c954ac |
completed | April 20, 2026, 3 p.m. |
| PD | Predicate disambiguation | batch_69e514d4df3c8190b7e9b3b4fdf9452a |
completed | April 19, 2026, 5:45 p.m. |
Created at: April 10, 2026, 1:42 p.m.