Triple
T11863077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Presentation Sisters |
E282205
|
entity |
| Predicate | founderDiedInYear |
P101930
|
FINISHED |
| Object | 1784 |
—
|
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: 1784 | Statement: [Presentation Sisters, founderDiedInYear, 1784]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: founderDiedInYear Context triple: [Presentation Sisters, founderDiedInYear, 1784]
-
A.
founderKnownFor
Indicates that a founder is particularly recognized or notable for a specific work, achievement, product, or contribution.
-
B.
founderBirthName
Indicates the original personal name given at birth to the individual who founded an organization or entity.
-
C.
wasFoundedBy
Indicates that an organization, institution, or entity came into existence through the initiating action or establishment by a specific founder or founding group.
-
D.
founderNationality
Indicates that the specified person’s country of origin or citizenship is the one associated with the founder in question.
-
E.
foundedWhileFounderWas
Indicates that an entity was founded during a specific period or role held by its founder (e.g., while the founder was in a particular position, status, or life stage).
- 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_69d6ab2945d081908a5851c916cbcfb5 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a69b16bc8190999a0c1240f9ce6a |
completed | April 10, 2026, 7:28 a.m. |
| PD | Predicate disambiguation | batch_69d8a2573dbc8190ab432e8e28fde6cc |
completed | April 10, 2026, 7:10 a.m. |
| PDg | Predicate description generation | batch_69d8a43cc0c881909fed7cd759fe90b1 |
completed | April 10, 2026, 7:18 a.m. |
Created at: April 8, 2026, 9:43 p.m.