Triple
T31916483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jesuit educational network |
E814843
|
entity |
| Predicate | aimsToForm |
P172727
|
FINISHED |
| Object | men and women for others |
—
|
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: men and women for others | Statement: [Jesuit educational network, aimsToForm, men and women for others]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aimsToForm Context triple: [Jesuit educational network, aimsToForm, men and women for others]
-
A.
aimOf
Indicates that one entity serves as the goal, purpose, or intended target of another entity’s action, plan, or existence.
-
B.
aimsToModel
Indicates that one entity is intended or designed to represent, simulate, or approximate the behavior, structure, or properties of another entity.
-
C.
aimsToControl
Indicates an intention or effort by one entity to gain power over, direct, or regulate another entity or situation.
-
D.
aimsToServeAs
Indicates that one entity has the intention or purpose of functioning in the role or capacity of another entity.
-
E.
aimedToFacilitate
Indicates an action or arrangement that was intentionally designed to make another process, event, or outcome easier or more likely to occur.
- 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_69f348f109d88190b5005372c53d2fcd |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b1ef9a84819092952e451b98987b |
completed | May 3, 2026, 2:24 a.m. |
| PD | Predicate disambiguation | batch_69f6aca59d4881908d14ed47962703bd |
completed | May 3, 2026, 2:02 a.m. |
| PDg | Predicate description generation | batch_69f6af7d92008190aead47eaae8cc091 |
completed | May 3, 2026, 2:14 a.m. |
Created at: May 1, 2026, 12:02 a.m.