Triple
T8493108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Evitable Conflict |
E201020
|
entity |
| Predicate | machineGoal |
P83025
|
FINISHED |
| Object | minimization of human suffering |
—
|
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: minimization of human suffering | Statement: [The Evitable Conflict, machineGoal, minimization of human suffering]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: machineGoal Context triple: [The Evitable Conflict, machineGoal, minimization of human suffering]
-
A.
engineeringGoal
Indicates that an entity has a specific engineering-related objective, target, or desired outcome it is intended to achieve or support.
-
B.
goalType
Indicates the specific category or nature of a goal associated with an entity or action.
-
C.
initialGoal
Indicates that something represents the first or starting objective or target in a sequence of goals.
-
D.
goalDescription
Indicates that an entity expresses, specifies, or provides a textual description of a goal or intended outcome associated with another entity or activity.
-
E.
gameObjective
Indicates the primary goal or intended outcome that participants aim to achieve within a game.
- 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_69ca831ee390819095fae73400bbfafc |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe579b7088190b297b04527e36a2b |
completed | March 31, 2026, 3:17 p.m. |
| PD | Predicate disambiguation | batch_69cbd10a4b0881909e254117780dc823 |
completed | March 31, 2026, 1:50 p.m. |
| PDg | Predicate description generation | batch_69cbe30d453481908f897ed2b06e7534 |
completed | March 31, 2026, 3:06 p.m. |
Created at: March 30, 2026, 6:13 p.m.