Triple
T146303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OpenAI |
E3337
|
entity |
| Predicate | originalMission |
P1415
|
FINISHED |
| Object | ensure that artificial general intelligence benefits all of humanity |
—
|
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: ensure that artificial general intelligence benefits all of humanity | Statement: [OpenAI, originalMission, ensure that artificial general intelligence benefits all of humanity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalMission Context triple: [OpenAI, originalMission, ensure that artificial general intelligence benefits all of humanity]
-
A.
mission
Indicates that an entity is assigned or engaged in a specific task, operation, or purpose-directed undertaking.
-
B.
originalDestination
Indicates the initial or intended destination associated with an entity before any changes, rerouting, or redirection occur.
-
C.
secondaryGoal
Indicates that something serves as a subordinate or supporting objective in addition to a primary goal.
-
D.
hasPrimaryGoal
chosen
Indicates that an entity’s main or most important objective is the specified goal.
-
E.
originalSettlement
Indicates that one entity is the initial or first-established settlement location associated with another entity.
- 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_69a252868de4819080e21c9938bfe8b6 |
completed | Feb. 28, 2026, 2:27 a.m. |
| NER | Named-entity recognition | batch_69a257ea7eac8190884a53453a9e0dd6 |
completed | Feb. 28, 2026, 2:50 a.m. |
| PD | Predicate disambiguation | batch_69a25656a4fc81908a87678ac3d28f93 |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.